|
English |
Ukrainian |
||||||||||||||||||||||||||||||||||||||||
|
The
Technology Revolution using the “R” letter Searching the
Internet
Lecture Don Moskaluk Single letters are the marketer’s touchstones. We have the ubiquitous “e” used in company names (eGain, an e-mail company), e-commerce (B2C and B2B varieties), and, as one pundit exclaimed, “E-nough.” We want to focus on “R” — relationship technologies gathering research to produce revenue. Web or intranet searching is shifting from presenting a list of “hits” to a richer, more complex presentation of information, delivering information in a meaningful context. Searching is a modern technological wonder, but algorithms can only do algorithmic functions. Humans perform other types of functions, including putting information into context and drawing relationships. Combining the best of router spider indexing functions, adding a soupcon of statistical analysis, getting people back into the search process — that is the future. Searching is becoming more concerned with relationships of many types. It is becoming a regular task. When a searcher needs help, there are different types of intermediaries on hand. The best research combines relationships among data, other researchers, and various technological gizmos. The Napster-Gnutella-Freenet revolution has just begun. It appears that search functions are shifting toward a distributed network architecture (DNA). As a set of services that works to integrate resources, DNA is an open system, client-server technology. DNA integrates information from any data acquisition system, simulator, information database, plant monitoring system, etc., and then facilitates the acquisition, archival, and retrieval of all types of information created or gathered. This model addresses the development, deployment, and maintenance of Web-based applications in an effort to build relationships among people and data. The letter “R” may step out from the shadows of searching to the center stage. The themes that this article touches upon interconnect and directly relate to exploiting the “relationship” technology of the Internet:
Today’s new technologies can solve “R problems”; that is, perform “regular” tasks and attack “real” problems with the click of a mouse from virtually any location at any time. Most importantly, “R” sites generate revenue. Web Searching: The Core Services of the internet Yahoo! [http://www.yahoo.com] is one of the most-visited sites on the Internet. Like Lycos’ and FAST’s services, Yahoo! Has an international presence. The Yahoo! Splash screen is not particularly user-friendly. Some might consider it cluttered. Two points, however: The Yahoo! Visitor can locate information by pointing and clicking. No instruction other than the basics of pushing a mouse button is required. Special services and features pop off the page. Good use of color and icons catch the user’s attention and invite a click. Search-and-retrieval experts often ignore the Yahoo! Search function. To a great extent, real live people create the basic listing of sites arrayed in a taxonomy or classification system in Yahoo!. Many on the Yahoo! editorial teams overseeing the 400,000 or so taxonomic entries have degrees in library or information science. However, Yahoo! really only directly indexes certain sites, now relying on Google to handle the rest. When a user clicks on an entry in the taxonomy, a list of sites appears. A Yahoo has created these listings! Professional or by a person who has submitted a site to Yahoo! Even the submitted listings that appear in the taxonomy have been reviewed and possibly edited by the Yahoo! Editorial team. At the bottom of the Yahoo! taxonomy pages links appear that invite the user to review a list of the 101 most useful Internet sites. A click triggers an advertisement for the magazine, Internet Life. For users who want to explore the news, Yahoo! offers a point-and-click approach plus an advanced search function. Based on information provided to our researchers, however, fewer than 10 percent of Yahoo! news users access the advanced searching function. The quest for better search-and-retrieval systems continues. AIT’s Web site [http://www.arnoldit.com] provides links to more than 600 Internet directories and search engines that index content outside of North America. Within North America, the number of search engines and directories runs into the thousands. These are some of the more interesting new services:
The emergence of “person-centric” services represents one of the more interesting innovations in search and retrieval. The Arnold IT Web site [http://www.arnoldit.com] lists more than a dozen Web indexing and directory services that provide human-intermediated search help, such as Abuzz.com [http://www.abuzz.com], Askme.com [http://www.askme.com], and Keen.com. Other sites “sell” search help: for example, Frenzi.com, which uses a barter system and Exp.com [http://www.exp.com]. The search service that really breaks new ground is Napster, the embattled file-sharing site. The music industry has worked diligently to fundamentally alter the Napster service, but the technology of distributed content and virtual indexes is moving faster than the music industry’s copyright lawyers. [A fierce legal battle swirls around Napster and its threat to copyright infringement. At one point, a federal district court ruling threatened to shut down the operation. By the time you read this article, this may have occurred, but at presstime, the 9th U.S. Circuit Court of Appeals had established a three-judge panel to hear arguments in early October. The recording industry wants the service shut down, but a diverse array of groups — ranging from the Consumer Electronics Association to the Association of American Physicians and Surgeons — has filed friend-of-the-court (amicus curiae) briefs on different aspects of the case.] Gnutella and Freenet offer similar functionality, with the “virtual directory” distributed across different machines, not centralized in one location. The Napster interface provides a glimpse into the functionality embedded in the concept of distributed network architectures, where the opposite of a centralized repository and index exists to satisfy requests for information: Kazaa, Morpheius Gnutella, Freenet, and other distributed or “virtual indices” will have a significant impact on search and retrieval over the next 2-3 years in “Internet time.” The overhead associated with using a series of scripts like Inktomi, Northern Light, or Alta-Vista’s Raging.com service to index the Web is enormous. When users do the indexing, core network functionality creates a “virtual directory” available for searching. One new service, InfraSearch, uses the Napster distributed directory paradigm, combining both the technology and pricing mechanisms. The developers of InfraSearch came from the University of California-Berkeley’s Experimental Computing Facility (XCF) and were responsible for Gnutella. A publisher or information producer with content provides Napster-like information, substantially self-defined, to InfraSearch. A query returns a pointer to the file plus whatever meta-information the submitter provided. InfraSearch can, with the information producer’s permission, spider the content and automatically create the brief description and the pointer. Content providers can specify if the information is provided without a fee or carries a per-view surcharge. The beta version of the service provides access to content from Moreover.com and Yahoo! Finance, services that carry both free and for-fee information. When a document is located, a click takes the user to the publisher’s site where they can view the document for free or after paying a fee. Infrasearch uses the distributed network architecture in an interesting way that is the opposite of the “old” Dialog model. As more and more PCs keep plugging into the Internet, the physical location of particular chunks of data that a user may wish to access has become increasingly irrelevant to Internet users. Many newcomers to personal computing have only foggy notions about directory structure, folders, file names, and the location of devices that actually hold the data or even the application software. Inktomi and Google have transformed the spidering business into a business model similar to that of an Application Service Provider. Users “rent” or “license” an application or, in Inktomi’s case, indexes of Web sites. When a person uses a Web search feature on a Web site such as Microsoft’s or VerticalNet’s, they do not use a search engine created or operated by that Web site. Instead, third parties have created the taxonomy and index. It is cheaper for Webmasters to “rent” a spidering utility and avoid the multi-million-dollar operational costs of Web indexing. People not technology Unlike About.com (formerly the Mining Company), expert services are shifting from search and retrieval that stores answers to anticipated questions to services driven by the asking of questions. The market leader in “answering questions” is Ask Jeeves [http://www.askjeeves.com]. The premise of About.com is that some individuals gather and maintain links to Web sites on particular topics. About.com’s resident expert on Web search and retrieval, for example, is Chris Sherman, an information broker. How does Mr. Sherman’s listing of Web search sites differ from “hits” produced by a spider-generated service like FAST [http://www.alltheweb.com]? Presumably Mr. Sherman uses other sites’ indexes (probably ones built by spiders) to assist him in his research, so About.com’s model is closer to Snap’s or Yahoo!’s editor-built directory. But in this case, Mr. Sherman is the person responsible for what appears in his list of links. It is quite difficult to find out what person or persons is directly responsible for a section of links at an Internet editorial shop like NBCi, owner of the Snap and Xoom directories, on the other hand. How do the listings differ? First, Mr. Sherman constructed his core list using other research tools. The sites listed are those that he judges the most useful and pertinent to the subject of Web research. Second, if a person scanning Mr. Sherman’s links wishes to grouse or provide some other type of feedback, Mr. Sherman is available to answer questions by electronic mail or by telephone if the matter is urgent. Third, the links are updated on a cycle set by Mr. Sherman, not a script. About.com is a quite useful service, particularly for a person who wants to look at focused hits on a topic. Ask Jeeves is the natural language champ, at least in Internet space and stock trader visibility. For the month of June 2000, Media Metrix [http://www.mediametrix.com] noted that Ask Jeeves had climbed to the number 15 spot in unique Internet visitors. For that month, Ask Jeeves had about 12 million unique visitors — or about 400,000 a day. This compares to America Online’s 2.6 million unique visitors per day. AOL was the most visited site in June 2000. Ask Jeeves is expected to lose about $40 million in the quarter ending June 30, 2000. The stock soared to 190 per share and sagged to 18 per share by the end of June 2000. Experts in NLP scoff at Ask Jeeves. The
user does enter a natural language query and does get an “answer.” Unlike the
more esoteric NLP engines crafted at Carnegie-Mellon or Syracuse
universities, Ask Jeeves looks at a question, like “What is the weather in
Capetown, South Africa?,” and matches the question to a master list of 10,000
or so questions that Ask Jeeves “knows” how to answer by hitting a database
of URLs and scripts. The user sees a template that allows them to select from
a suite of likely “answers.” What does the future hold? Consider Twirlix . When a user does a query, Twirlix runs a query over its index of Web sites. Each hit display carries a thumbnail picture of the Web site plus a brief textual description of the site. The company calls this “Quick Preview.” Twirlix’s “TV-Preview option” presents a list of sites with Quick Previews, QualityRatings, language, and site name — but presented consecutively from left to right in order to get maximum information on a single page. As noted, Napster, Gnutella, Freenet, Infrasearch, and the other “virtual directory” searching services make users and their information needs the focal point of the service. A searcher has a direct relationship with another user who has created the index pointer and created the file to which the index entry points. In effect, these new distributed services could disinter mediate other Internet middlemen from the search-and-retrieval process. This is unlikely, however, because people want vetted lists of sites. Napster has, like Yahoo! and Lycos, created a host of what might be called “regular” communication tools. There are bulletin boards, chat groups, communities, and similar services to allow the users of distributed services to talk and meet one another on common ground. About.com and a number of person-centric search and research sites make an expert the center of focus. These sites encourage questions, searches, dialogs, and other interactions. The researcher is in close relationship to the person responsible for the links in the site and can, with a click or two, engage that person in one-to-one conversation. Ask Jeeves allows the user to ask the system a question. The answer, however, is placed in a context. The user can scan the presentation of different ways to get the answer to a particular question. Like Yahoo!, Ask Jeeves presents a context-rich array of choices. Recently Ask Jeeves has followed Yahoo! in offering personalization services and other types of communication vehicles. The “relationship” technologies or techniques in this handful of high-traffic sites follow a common theme:
NLP? NLP is computationally intensive, fiendishly expensive, and far enough in the future that only the most ardent optimists bet that an NLP search engine will unseat Yahoo!. Ask Jeeves is not NLP-based on sophisticated linguistic and statistical algorithms. Ask Jeeves matches a query to a collection of canned answers. When a match is found, the search is run. The company is upgrading its technology, but its importance in the development of Internet searching lies in its ability — or attempt — to offer a service that allows a user to enter a query and get a response in a second or two. True NLP engines are best demonstrated in computer research laboratories. A study by NPD New Media Services [http://www.npd.com] revealed what information professionals have known for many years and what information scientists have verified with hundreds of Journal of ASIS articles: An Internet search returns “better results” when the user relies on “multiple-keyword searches and the use of more than one search engine.” However, based on the study of 33,000 Internet users picked at random during the first quarter of 2000, 81 percent of Web searchers reported, “success finding the information they were looking for.” The sponsors of the study were 13 Internet search engines, including Alta-Vista, America Online, Ask Jeeves, Excite, Go, Google, GoTo.com, HotBot, Lycos, MSN Search, Netscape Search, Web Crawler, and Yahoo!. Another interesting finding: Nearly 45 percent of Web users search using multiple keywords. About 29 percent rely on a single word. Only about 18 percent of those surveyed formulate queries in the form of questions. Nearly 80 percent use the same keywords in different search engines. Only 19 percent reformulate their query. [To view the survey results released on July 17, 2000, go to http://www.npd.com/ or http://www.iprospect.com/.] The company’s research summary noted that a “Web site must rank in the top 30 results to get significant traffic. Most people do not scroll past the top 30.” The practical approach to NLP is to factor humans into the search equation. After all, even the least bright human can figure out some of the nuances that bedevil the use of spoken language to derive meaning from context, intonation, and implication. Search engines are finding out that humans are cheaper, better, and faster than most NLP engines available in the marketplace. The “R” revolution can be seen in the use
of people, information in context, and communication tools. The technology
enabling these functions is remarkable. The use to which the technologies are
put are easy to understand. The computerization of the Internet has changed the
Internet from a narrow communications channel to a multifaceted one. Metasearch Engines The popularity of technology that takes one query and runs it across multiple Web indexes stems from one painful fact. The spiders and humans building Web indexes cannot keep pace with the amount of new information posted to the Web each day. Furthermore, a larger and larger percentage of Web pages are dynamic and exist only when a user takes an action. Agents and spiders can be programmed to create pages from dynamic content, but it is expensive to create script libraries. As a result, Web indexes focus on the popular pages. A metacrawler plays the odds that most Web indexes have less than 30 percent overlap. The result is that the user takes advantage of the lack of duplication. The results typically appear in a list of results ranked by relevance. Thus, instead of looking at separate lists of hits, the metacrawlers provide some relationship among the results. Seymour Rubenstein, the creator of the groundbreaking WordStar word processing software and Quattro Pro spreadsheet, has developed a remarkable metasearch engine for his new company, Prompt Software. In addition to querying dozens of Web indices, the software can be aimed at intranet servers and special types of documents in Word or PowerPoint format. In addition, the software includes a feature that allows the user to see an abstract or summary of the information on a Web page simply by holding the cursor on a site’s hyperlink. But the most remarkable innovation is Mr. Rubenstein’s algorithm for extracting a word list with proper names and compound words. A user can scan the alphabetical list, click on the precise term, and be launched to the Web page where that term or phrase appears. Popularity Engines An alternative approach is to count the clicks. Direct Hit, hatched at the Massachusetts Institute of Technology, indexes sites that people use. The idea is that popular, important sites are used most often. Blending the two ideas is Ixquick, based in
New York City. This site combines link analysis and click-stream analysis.
Sites that rank highly with both “score” higher in importance than those that
do not. Ixquick is interesting because it focuses on the relationships
between links, clicks, and the user’s query across text, MP3, and image
files. What High-Traffic Sites Have Discovered about Searching No one knows how many sites exist “on” the Internet. The number is somewhere in the millions, with an estimated billion or so pages. Estimates for the volume of data flowing into the Internet are equally fuzzy. Received wisdom argues for the Internet’s doubling every 3-6 months. Pick a number. The point is that there are hundreds of millions of users, sites, pages, or any other metric one wants to use to measure the Internet. A Dartmouth College report claimed that search engines are struggling to keep up with the new content and changes to existing Web pages. According to the Dartmouth researchers, “We were able to determine that one in five Web pages is 12 days old or younger.” Only one in four pages is more than 1 year old. Not surprisingly, the top sites include a search function, but the days of pure search creating a Top 20 site have been left behind. Searching is not enough. [For a copy of George Cybenko and Brian E. Brewington’s paper, “How Dynamic Is the Web?,” go to http://www9.org/w9cdrom/264/264.html.] With an estimated 600 new pages added to the Web every minute, search engines have two difficult tasks to perform rapidly. The first is to index the new pages as soon as they appear. This means that the agents being used to monitor Web sites must operate continuously from multiple servers and multiple network access points. Identifying changed pages places additional demand on the spidering infrastructure. When a change is detected, the spiders must reindex the site. The combination of monitoring for new pages and determining changes to previously spidered and indexed pages requires substantial amounts of money and technical talent. The surprising aspect of the Internet is that it is behaving in a decidedly old-fashioned way when it comes to user behavior. Technology wizards may stay up all night cursing America Online, but AOL is doing something right. It makes money. It has customers. It is one of the top sites on the Internet. A look at one of the popularity contests or hit parade of Internet success stories [see Table 3 ] reveals the disparity between a typical company site with a few hundred to a few thousand hits per day to the top-performing Internet destinations (formerly called portals and now positioned as networks). An inventory of the “R” technologies offered on these sites reveals the following:
The information in Table 3 reinforces the shift to what we call “Relationship Technology.” The sites pull users; that is, they are magnetic. They hold onto users within the “network” of sites; so they are sticky. Research by Forrester, Gartner Group, Nua, and Giga Group, among others, has reported that the longer a user remains within a site, the more valuable that user is in terms of advertising and sell-through. [Sell-through connotes that a person makes a purchase that benefits the site operator while within the site. The purchase can be a referral, in which case the referring site gets a commission. See eContent, August-September 2000, for a more detailed discussion of pricing, “The Joy of Six” by Stephen E. Arnold.] First, look at the difference between the top five sites with an average number of unique visitors in the 43 million range. The average number of visitors to the sites ranked 16 through 20 is about 11 million — one-fourth the traffic. The top five sites are not really sites. AOL, Microsoft, Yahoo!, Lycos, and Excite@Home are really full-scale online services offering searching, shopping, community, business information, and entertainment services. Second, the shift from sites that provide one core service is profound. One year ago, sites that offered “network” services were limited to America Online and the much-maligned Microsoft Network (MSN). An Internet “site” provides a wide range of services. In fact, in order to capture “clicks” and unique visitors, these Internet sites are positioning themselves as “networks.” Seven of the 20 sites use “network” in their name as part of the sites positioning. Third, the best way to grow is to purchase other high-traffic sites and roll those users into the “mother ship” site. Sites that have followed this practice are Lycos, Excite, NBCi, America Online, eBay, and recently CNet and ZD Net. CNet bought ZDnet in a staggering billion-dollar deal. If we look in the business-to-business space, a similar story is unfolding. The explosion of business exchanges in the chemical, steel, and medical supplies industries is following the trajectory of the “consumer” Internet segment. A good example of the blend of back-office services and relationship technologies can be found in the sites built by Time0, a unit of Perot Systems, which has a partnership with companies such as Grainger’s OrderZone. The features and functions of the business-to-business sites are similar to those found in the public “network” sites:
The shift that has taken place in the last 24 months has been similar to what happens when a piece of tape is pressed against grains of sand. The tape picks up the separate grains and becomes something quite different from the original two materials. Sandpaper has characteristics, qualities, and applications quite separate from the “paper” and “grit” of the original compounds provides a simplified view of what the Internet’s ecology supports. The Internet has functioned like adhesive tape since its inception 30 years ago. If we extend the sticky tape metaphor to a network infrastructure, the transformation of a redundant network into the global phenomenon becomes quite interesting. The original Internet performed the file transfer and machine access functions that its designers intended. But the Internet has proved to have powerful adhesive and adaptive qualities. Consider the concepts that appear in “Basic R Technology Drivers.”
With the Internet’s layered ecology, a technology or innovation can be put in several different “places.” The revolution in distributed file and directory services is now driving Microsoft Corporation’s company-wide realignment. File and directory services provide the lubricant for the turmoil swirling around unauthorized distribution of digitized music, videos, and text. The use of the Internet as a place where colleagues can meet to view a PowerPoint presentation and discuss a project in text chat or voice/video media is simply a different manifestation of network plumbing, operating system services, and applications. Internet technology gives ideas and
technologies the breeding drive of lonely gerbils. Neither gerbils nor the
Internet is likely to cease breeding in the foreseeable future. Success Websites? The four stages or steps that users go through before they decide to make a particular site their “favorite place” is the following: The first stage is access. Users have to be able to get to the site. Sites that respond slowly or put too many barriers in front of the user will probably not build a strong base of repeat users. Once the user has access, the site must provide functions and services that allow the user to meet specific needs. The better the site is at meeting the needs that users may not be able to verbalize, the more likely users will return to the site and stay within it. Our research reveals that users under the age of 21 leave a site within 15 to 20 seconds of its splash page displaying. The features that keep a site fresh can place incredible financial and technical demands on the site’s owner. Dynamic pages, personalization, and special features like Wireless Access Protocol (WAP) pages make static, text-based pages look stale, even when carrying valuable information. The site must provide ways for the users to interact. The site must also provide a broad, interesting selection of regularly refreshed services. AOL, Microsoft, and Yahoo!, among others, make it possible to refresh sites in near-real time. Such change keeps pages magnetic and enhances stickiness. Core communication functions make up the user’s part of the site’s experience. The messages and information users post become “homestead content.” Users have a vested interest in the site. The final stage for a successful site is enhancing the site’s appeal as the only place to go for most services. America Online and Yahoo! are among the most successful nesting sites in the consumer space. Users literally do not know what to do if their AOL or Yahoo! page is not available for some reason. Based on work sites large (US West Yellow Pages) and small (Talavara), a successful site follows at least four steps. Some can jump over all phases in a matter of weeks. An excellent example is the explosive growth and acceptance of the Napster music site. Other sites gather momentum over time, moving through evolutionary phases with almost predictable enhancements. Examples include the evolution of Amazon.com from a vendor of books to a Wal*Mart with “homestead content,” data mining suggesting books and music to the customer, and a widening stream of commercial products on offer. eBay has moved along a similar path with a foray into guarantees, credit-card billing, and a print magazine. High traffic sites exert a suction of sorts. People send electronic mail to their friends about a useful site. Conference speakers call attention to sites that do something that can attract users and attention. “Buzz,” the vibration from “viral marketing,” gets people to take a look. If the site has something that offers value to the user, the user will keep coming back. People, even those not interested in New Wave music, will take a look at a hot site once to see what the excitement is about. The result is a digital cyclone that pulls users, a “force field” that turns the site into an electro-magnet pulling users into it. The four “stages” or components are certainly arbitrary. In order to have a successful site, people have to get access to it. America Online relies on “carpet bombing” prospects with almost unavoidable offers of free access. Other sites like the Food Network’s pages about the Japanese cooking program Iron Chef happen without a budget and almost accidentally. Sites that offer day traders access to financial information from a high-profile source like Thomson Corporation charge for access. Sites that offer access for registration only generate revenue by selling names, setting up click-through and commission deals, or selling advertisements and sponsorships. After they have people coming to their site, savvy site operators put text discussion groups in place. Others build systems that allow users to post comments on virtually any topic and hen use data mining tools or clustering algorithms to provide views of this grassroots content. Discussions and posting software are available from many different sources, including Pow Wow, Buzz Power, and ASAPware, to name just three. As the message traffic grows, the successful site enhances the interaction options for its users. The high-traffic sites create environments that support live conferencing, automatic profiling and filtering of new messages, voice, video, and a constantly expanding blend of services designed to get people interacting with other people. Among the most interesting examples are sites that blend Internet directories and electronic mail access with experts who compile a topic-specific directory. If a directory listing fails to help, the user can “talk” directly to a person who knows about the subject. The goal is to get users or customers who come to a site to stay there. “Nesting” is the high goal of the site’s technology, marketing, and value. Our work with high-traffic sites supports what is emerging as common sense? Customers who stay within a site are more valuable than a visitor who clicks once and is gone in 20 seconds. Nesting users have value as “eyeballs,” potential purchasers of goods and services on offer, and as what is called, somewhat awkwardly, “commitment.” Site operators feel that a person who cares about a site will respond to surveys, provide information via online forms, and promote the site to others. The marketing information extracted from habitual users can provide important clues to the site operator about what features the core group of users and customers desire. If we contrast the public Ask Jeeves page with the “new” personalized Ask Jeeves page,three differences strike one immediately:
Web sites are changing in the consumer and business marketspace because operators have found single-function sites difficult to sustain. To illustrate, one year ago, of the sites listed in the top 20 sites table, only three were full-scale portals: America Online, Yahoo!, and Excite. One year later, 17 of these sites can be considered as “mini-AOLs,” offering a wide array of information services, functions, and activities for users. But does the same trend appear in the business-to-business market sector? Consider the screen from SageMaker’s intranet toolkit. The similarities include a visually striking presentation, a combination of exposed information and news and one-click access to branded sources, and a tabbed interface that facilitates location of work-related information. The future, however, is rich media. In closing, check out Finance-Vision, the multimedia Yahoo! service. Although the interface is composed on many different panels, four key changes from “standard” Yahoo! are evident:
The technologies that drive relationships vary. Sites offer free Web pages so “members” can share their ideas with others. Geocities was one of the first of the free Web page services. Thousands of sites offer this service now. The technology is far from trivial, but once the trail is blazed, following becomes routine. Data-mining services like those pioneered by Firefly Technologies (acquired by Microsoft), Net Perceptions, and the less well-known bluestreak [http://www.bluestreak.com] allow a site operator to do the following:
Relationship technologies
that monitor behavior are subject to intense scrutiny from consumers.
bluestreak (Newport, Rhode Island) has a product called Real-time Access to
Data, Analysis, and Response, or RADAR. bluestreak’s next-generation tracking
tools preserve a user’s identity. bluestreak has developed a proprietary suite of statistical and analytic tools that determines what is used on a site. Armed with that data, bluestreak predicts click-stream patterns. What is remarkable about bluestreak is that its On-the-Fly technology does not use “cookies.” These chunks of data that Web sites write to a user’s computer have become increasingly controversial, particularly in Europe. Cookies allow a broad array of functions, including monitoring, without the user's knowledge. Personalization is another major aspect of relationship technology. Yodlee [http://www.yodlee.com] is a developer of specialized personalization services that are being integrated into many sites. Yodlee’s technology can build a customized Web page for a user to provide a control panel for that user’s personal financial activities. Personalization services allow a user, customer, or member of a Web service to create a personalized “view” of information. Yodlee’s customers include Intuit, AltaVista, and Sabre. This rapid survey of the four possible
referents for “R” technology is not exhaustive. The goal has been to
illustrate how technology is creating an ever more personal, one-to-one, and
one-to-many ecosystem. Summary The behavior of the 180 million users worldwide suggests the Internet is simply a digital version of everyday human communications. Behind the glitzy Flash animations and the eye-straining typography of portals, the Internet delivers a booster jet for talking in text or voice, in images, and Web applications that provide digital versions of catalogs, calendars, and airline ticket sellers. After electronic mail, search and retrieval is the most used service on the public Internet. The difficulty of locating the right bit of information at the moment it is needed still plagues users. The richness of innovation in search and
retrieval is astounding. There are literally thousands of Web and online
indexing systems with mind-boggling variations. Access America Online has defended its proprietary
Instant Messenger service fiercely. Access is limited to paying customers.
Without value-added features like Instant Messenger, the appeal of for-fee
services like America Online would erode. Similarly for-fee professional
services place various restrictions upon access. High fees effectively
prevent certain individuals and organizations from using LEXIS-NEXIS or
Westlaw online information services. People without the funds to pay a hefty
monthly fee are not allowed to use some of the financial information services
available in the Thomsoninvest.com service. Bonding The rapid evolution of Web search services into full-service information portals creates rich assortments of information, communication, and interaction for users. Lycos’ rapid rise from an also-ran to one of the top 10 most popular Internet sites has been fueled by its strong commitment to services that allow its users to buy, sell, talk, trade, and auction in a global setting. Other sites have discovered the power of
real-time and asynchronous features as strong traffic builders. Talk City [http://www.talkcity.com], which
began as a public forum for Internet users, has made substantial headway in
marketing its conferencing and discussion services to corporations. It also
functions as a public Internet site and an Application Service Provider for
groups requiring limited-access discussion services. A similar surge in usage
has accompanied the Webforia [http://www.webforia.com]
initiative to provide vertical discussion services, e.g., a service to the
information industry offered in conjunction with several well-known trade
publications. Webforia may require users to register for some features. The
company also offers low-cost Web software utilities for managing links and
generating reports. Mixing In order to make messaging more immediate, Yahoo!, Gooey, and other services provide visual cues when the author of a message or the person selling a product is online. Real-time interaction provides more solid evidence that the Internet is not a casual activity, personally or professionally. Real-time information becomes critical to people who use the Internet throughout the day without ever ending their connection. eNow was one of the first companies to combine real-time messaging and real-time indexing of the information posted in eNow discussions. The well-known services of Dèja News [http://www.deja.com] and Remarq [http://www.remarq.com] provide indexing of posts that often appear several hours to several days earlier. (Deja News offers a product-oriented selection of newsgroup content and a broad index of general discussions; Remarq provides a keyword search of newsgroup postings. Both services use some filtering.) eNow provides near-real-time access to information so that a person monitoring an eNow session for competitive intelligence or time-sensitive information may have a jump on those using less timely indexing services. Net Currents [http://www.netcurrents.com] provides a competitive intelligence service that includes features permitting information extraction from newsgroups, bulletin board postings, and other types of information not usually indexed by such spiders as Gulliver (Northern Light), Inktomi, or Lycos. Its remarkable combination of spiders and automatic report generation features monitors dynamic environments, gathering information about a company’s financial position, postings and messages in various online groups, and news sources. On a schedule set by Net Currents’ client, the company prepares a report about the company monitored. In the “R” technology environment, the concept of “mix” is powerful. It connotes tools that allow individuals to mingle, exchange messages, comment, and create rich types of “homestead” information. (“Individuals create Homestead” or “grassroots” information.) Unlike branded, third party information
from such sources as Reuters, the Associated Press, and The Wall
Street Journal, among others, “homestead” information may or may not be
accurate. It does, however, have value.) It also provides an ecosystem in
which such advanced relationship technologies as data mining, spidering, and
automatic report generation can thrive. Nesting The future of the Internet may be glimpsed
in Yahoo!’s new service, FinanceVision. Before America Online announced
its television service, Yahoo! had trumped the for-fee financial information
services. A day trader can access a personalized Web page, near real time
news and stock quotes, Web pages, a search box, and streaming video programs
about companies and financial developments. The service is remarkable. Conclusion “R” Electronic mail is somewhat time-shifted. It lacks emotional and social bandwidth. The innovators who thrive in the Internet’s ecology are interested in software, systems, applications, and features that increase the warmth, individualization, and richness of Web interactions. America Online’s Instant Messenger brought ease-of-use and immediacy to text communication between “buddies.” A number of companies created me-too versions of Instant Messenger. The success of America Online’s application spread across customer service with robust commercial applications offered by Net Effects, Live Person, and eCRM (Electronic Customer Relationship Management) providers. “R” technology boils down to using computer-assisted systems to bring human contact into what may seem to many a sterile experience. It represents a pragmatic response to adjusting a world that many people find far less comforting than the Norman Rockwell images of everyday life just 30 or 40 years ago. As more nontechnical users embrace the Internet as a way to connect, the tools that make the user’s life easier, more pleasant, or more meaningful will better integrate into that user’s behavior. Using technology to build, strengthen, or form relationships is a conceptual umbrella. The mechanisms of voice over the Internet or personalized greetings and recommendations are less important than the effect of these technologies on their users. “R” is the suite of technologies to watch. In the next six to nine months virtually every major public site and most of the large intranet sites will place more and more emphasis on technologies that personalize, anticipate, provide enriched communications services, and, most importantly, build “me.coms” for people with affinity. |
Ðåâîëþö³ÿ Òåõíîëî㳿 âèêîðèñòîâóþ÷èé “R” ëèñò Øóêàþ÷èé ²íòåðíåò
Âèêëàäàòè
Don Moskaluk
ªäèí³ ëèñòè ÿâëÿþòü ñîáîþ á³ëüø ðèíêîâèé touchstones . Ìè ìàºìî ubiquitous “e” âèêîðèñòàëè ó íàçâàõ êîìïàí³¿ (egain, êîìïàí³ÿ åëåêòðîííî¿ ïîøòè), e-êîìåðö³ÿ
(B2c òà B2b ð³çíîâèäè), òà, òîìó ùî pundit âèãóêíóòèé,
“Äîñèòü .” Ìè
çàõî÷åìî ñôîêóñóâàòè íà “R” —
òåõíîëî㳿 ñï³ââ³äíîøåííÿ çá³ð äîñë³äæåííÿ âèðîáèòè ïðèáóòîê. Ïàâóòèííÿ àáî intranet øóêàþ÷èé ïåðåì³ùóºòüñÿ ç ïðåäñòàâëÿþ÷îãî
ñïèñêó “óäàð³â” äî
á³ëüø áàãàòî¿, á³ëüøå ñêëàäíî¿ ïðåçåíòàö³¿ ³íôîðìàö³¿, äîñòàâëÿþ÷è
³íôîðìàö³þ ó meaningful êîíòåêñò³. Øóêàþ÷èé º ñó÷àñíå òåõíîëîã³÷íå çäèâóâàííÿ, àëå àëãîðèòìè
ìîæóòü ò³ëüêè çðîáèòè àëãîðèòì³÷í³ ôóíêö³¿. Humans âèêîíóþòü ³íø³ òèïè
ôóíêö³é, âêëþ÷àþ÷è ââåäåííÿ ³íôîðìàö³ÿ â êîíòåêñò òà ìàëþíîê ñï³ââ³äíîøåííÿ.
Îá'ºäíóþ÷èé êðàùèé ïàâóêà ìàðøðóòèçàòîðà ³íäåêñàö³ÿ ôóíêö³¿, äîäàþ÷è soupcon
ñòàòèñòè÷íîãî àíàë³çó, îòðèìóþ÷è ëþäåé íàçàä â ïðîöåñ ïîøóêó — ùî ÿâëÿº ñîáîþ ìàéáóòíº. Øóêàþ÷èé ñòຠá³ëüøå ïîòóðáîâàíèé ç ñï³ââ³äíîøåííÿìè áàãàòî òèï³â. Öå
ñòຠðåãóëÿðíèì çàâäàííÿì. Êîëè searcher äîïîìîãà ïîòðåá, º ð³çí³ òèïè
ïîñåðåäíèê³â íà ðóö³. Êðàùå äîñë³äæåííÿ îá'ºäíóº ñï³ââ³äíîøåííÿ ñåðåä äàíèõ,
³íøèõ äîñë³äíèê³â, òà ð³çíîìàí³òíèõ òåõíîëîã³÷íèõ gizmos. Napster-Gnutella-Freenet ðåâîëþö³ÿ ò³ëüêè ïî÷èíàëàñÿ. Öå ç'ÿâëÿºòüñÿ ùî ôóíêö³¿ ïîøóêó ïåðåì³ùóþòüñÿ äî àðõ³òåêòóðè
ðîçïîä³ëåíî¿ ìåðåæ³ (DNA). ßê êîìïëåêò ñëóæá ùî 䳺 îá'ºäíàòè ðåñóðñè, DNA º
â³äêðèòà ñèñòåìà, äîïîì³æíà òåõíîëîã³ÿ-ñåðâåðà. DNA
îá'ºäíóº ³íôîðìàö³þ ç áóäü-ÿêîãî çáèðàííÿ äàíèõ ñèñòåìè, ³ì³òàòîð,
³íôîðìàö³éíà áàçà äàíèõ, çàâîä íàñòàâëÿþ÷à ñèñòåìà, etc., òà
òîä³ ïîëåãøóº ïðèäáàííÿ, archival, òà ïîøóê âñ³õ òèï³â ³íôîðìàö³¿ ñòâîðþâàâ àáî
çáèðàâñÿ. Öÿ ìîäåëü íàïðàâëÿº ðîçâèòîê, ðîçãîðòàííÿ, òà ðåìîíò
Ïàâóòèííÿ-Áàçîâàí³ çàñòîñóâàííÿ ó çóñèëë³ ïîáóäóâàòè ñï³ââ³äíîøåííÿ ñåðåä
ëþäåé òà äàíèõ. Ëèñò “R” ìîæå
êðîêóâàòè ç ò³íåé ïîøóêà äî ñòà䳿 öåíòðó. Òåìè ùî ö³ äîòèêè ñòàòò³ íà
âçàºìîçâ'ÿçîê òà ïðÿìî â³äíîñÿòüñÿ äî åêñïëóàòóþ÷î¿ òåõíîëî㳿
“ñï³ââ³äíîøåííÿ” ²íòåðíåòó:
Ñüîãîäí³
íîâ³ òåõíîëî㳿 ìîæóòü
âèð³øèòè “R ïðîáëåìè” ; ùî , âèêîíóþòü “ðåãóëÿðí³” çàâäàííÿ òà
àòàêóþòü “ðåàëüí³” ïðîáëåìè
ç ùèãëèêîì ìèø³ ç ïî ñóò³ áóäü-ÿêîãî ðîçòàøóâàííÿ â áóäü-ÿêèé ÷àñ.
Íàéá³ëüø âàæëèâî, “R” ì³ñöÿ
ïîðîäæóþòü ïðèáóòîê. Ïàâóòèííÿ
Ðåòåëüíå: Æèë³ Ñëóæáè ³íòåðíåòó Yahoo!
[http://www.yahoo.com] º
îäèí ç íàéá³ëüø-â³äâ³äàíèõ ì³ñöü íà ²íòåðíåò³. Ëþá³òü Lycos’ òà
ÁÈÑÒв ñëóæáè , Yahoo! Ìàéòå
ì³æíàðîäíó ïðèñóòí³ñòü. Yahoo! Splash åêðàí º íå îñîáëèâî äðóæí³é äî êîðèñòóâà÷à.
Äåÿêèé ìîæå ðîçãëÿíóòè öå cluttered. Äâà ïóíêòó, îäíàê: Yahoo! ³äâ³äóâà÷ ìîæå ðîçì³ñòèòè ³íôîðìàö³þ pointing òà
êëàöàþ÷èé. ͳÿêà ³íñòðóêö³ÿ çà âèíÿòêîì áåéñ³ê³â øòîâõàþ÷î¿ êíîïêè ìèø³
âèìàãàºòüñÿ. Ñïåö³àëüí³ ñëóæáè òà îñîáëèâîñò³ íåñïîä³âàíî ï³äóòü ñòîð³íêà. Ãàðíå
êîðèñòóâàííÿ êîëüîðåì òà ³êîíàìè ëîâëÿòü óâàãó êîðèñòóâà÷à òà
çàïðîøóþòü ùèãëèê. Ïîøóê Òà-Ïîøóê åêñïåðòè ÷àñòî ³ãíîðóþòü Yahoo! Øóêàòè ôóíêö³ÿ. Äî âåëèêî¿
ì³ðè, ðåàëüí³ æèâ³ ëþäè óòâîðþþòü îñíîâîïîëîæíîãî ïåðåë³ê ì³ñöü arrayed ó taxonomy àáî ñèñòåì³ êëàñèô³êàö³¿ ó Yahoo!. Áàãàòî íà Yahoo!
Ðåäàêö³éí³ êîìàíäè overseeing 400.000 àáî òàê taxonomic çàïèñè
ìàþòü ì³ðè ó á³áë³îòåö³ àáî ³íôîðìàòèö³. Îäíàê, Yahoo!
ijéñíî ò³ëüêè ïðÿìî àëôàâ³òí³ ïîêàæ÷èêè ïåâí³ ì³ñöÿ, çàðàç ïîêëàäàþ÷³ íà Google ùîá
ðîçãëÿíóòè ðåøòó. Êîëè êîðèñòóâà÷ êëàöຠíà âõîäæåíí³ ó taxonomy, ñïèñêó ì³ñöü ç'ÿâëÿºòüñÿ. Yahoo
óòâîðèâ ö³ ë³ñòèíãè! Ïðîôåñ³îíàë àáî îñîáîþ ùî ïîäàëà ì³ñöå Yahoo! Íàâ³òü
ïîäàí³ ë³ñòèíãè ùî îïèíÿòüñÿ ó taxonomy áóëè ïåðåãëÿíåí³ òà ìîæëèâî
áóëè â³äðåäàãîâàí³ Yahoo! Ðåäàêö³éíà êîìàíäà. Ïðè äí³ Yahoo! taxonomy ñòîð³íêè ëàíêè ç'ÿâëÿþòüñÿ ùî çàïðîøóþòü êîðèñòóâà÷à ïåðåãëÿíóòè ñïèñîê
101 íàéá³ëüø êîðèñíîãî ²íòåðíåòó ñèäèòü. Ùèãëèê çàïóñêຠðåêëàìó äëÿ æóðíàëó,
²íòåðíåòó Æèòòÿ. Äëÿ êîðèñòóâà÷³â ùî çàõî÷óòü äîñë³äèòè íîâèíó, Yahoo!
Ïðîïîíóº ïóíêò òà-ùèãëèê íàáëèæàþòüñÿ ïëþñ ïðîñóíóòà ôóíêö³ÿ ïîøóêó.
Áàçîâàíèé íà ³íôîðìàö³¿ ÿêùî äî íàøèõ äîñë³äíèê³â, îäíàê, ìåíøå í³æ 10
ïðîöåíòà Yahoo! Äîñòóï êîðèñòóâà÷³â íîâèíè ïðîñóíóòî¿ ðåòåëüíî¿ ôóíêö³îíóþòü. quest äëÿ êðàùîãî ïîøóêó òà-ïîøóêó ñèñòåìè ïðîäîâæóºòüñÿ. AIT Ïàâóòèííÿ
ì³ñöå [http://www.arnoldit.com] çàáåçïå÷óº
ëàíêè á³ëüøå í³æ 600 äîâ³äíèê³â ²íòåðíåòó òà ïîøóêîâ³ ìåõàí³çìè ùî ³íäåêñ
âì³ñò íàçîâí³ ï³âí³÷íî¿ Àìåðèêè.  ìåæàõ ï³âí³÷íî¿ Àìåðèêè, ÷èñëî ïîøóêîâèõ
ìåõàí³çì³â òà äîâ³äíèê³â á³ãຠâ òèñÿ÷³. Äåÿêî ç á³ëüøå ö³êàâèõ íîâèõ ñëóæá:
|