Fischer, G., Stevens, C.: Information Access in Complex, Poorly Structured Information Spaces. In Proceedings of CHI  Home/Search   Document Not in Database   Summary   Related Articles   Check

....data as a rst line of defense to be supplemented with more adaptive techniques to provide better and more personalized coverage. Several research systems simplify the lter speci cation problem by placing the burden of generating rules on software rather than on a user or programmer. Infoscope [14] monitors a user s behavior to create rules for Usenet newsgroup ltering. The system suggests these rules to the user, who can accept, modify, or reject them. Maxims [34] an interface agent for e mail, also generates ltering rules based on user behavior, but it suggests actions for the user to ....

G. Fischer and C. Stevens. Information access in complex, poorly structured information spaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 1991.

....in this dissertation, we will refer to the limited definition within IF. 1.1. 2 Approaches to Information filtering Information filtering techniques have been applied to several application areas including scientific publications [Luh58] technical memos and reports [FD92, FC97] Usenet news [FS91, Bac91, SK92, Ste92b, Bac92, JH92, SM93, Mae94, KHL 94, RIS 94, MS94, Lan95, YG95, Moc96, MRK97, MRK 97] electronic mail [Mye80, MGT 87, Pol88, GNOT92, Ter91, Ter93, LMM94] books [Ric79b, MR98] application program know how [LN98] the finding of experts [SW93, KSS96] Web pages [RM96, HT96, ....

....72 , which may not be sufficient for all types of users. So called prioritizers allow users to produce a weakly ordered output. The INFOSCOPE system, following up on the same line of research, is a filtering system for Usenet newsgroup articles providing semi automatic rule creation support [FS91, Ste92a] So called agents monitor the user s behavior, automatically generate filter rules based on the observed behavior, and suggest them to the user. Users may accept, modify and accept, or drop suggested rules, thereby slipping into the role of a filter critique instead of a filter ....

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G. Fischer and C. Stevens. Information access in complex, poorly structured information spaces. In Proceedings of the

....this idea by allowing more complex, rule based, keyword matching profiles to be designed by the user, but the average netnews reader will probably not be willing or able to build sufficiently complex ones. Consequently, first efforts have been made to have the profiles be automatically learned [Fischer, 91] Sheth, 94] These systems all focus on looking at the article text to determine its relevance, which is known as content based filtering. Other systems [Resnick, 94] Goldberg, 92] have instead focused on using ratings from early readers of an article to predict later readers ratings. This is ....

G. Fischer and C. Stevens. Information Access in Complex, Poorly Structured Information Spaces, Human Factors in Computing Systems, CHI'91 Conference Proceedings, ACM, New Orleans, LA, April 1991, pp. 63-70

....role specifically, identification of users interests, representation of interests, and application of such representations in interactions. The users just can describe their queries as vectors of terms or vectors of classes. At first, IF systems use AI based techniques such as rules [ 13 ] 6 ] to generate the profiles. Currently, most IF systems use machine learning techniques to generate user interest profiles [ 17 ] These techniques tend to obtain the correct weight for each element in the query vectors. The goals of IR and IF systems are both the estimation of the relevance ....

....an approach to represent users queries. Section 3 discusses the document representation. In Section 4, we first talk about the rough set based decision theory, then we propose the method of document classification. Section 5 reviews some the related work in the IR and IF fields, and Section 6 is the summary. 2 The User Query Model In this section, we first analyse the general format of information on Web sites, then we introduce the method of representing users queries. In order to manage vast information, people often classify the information into several categories. For example, ....

G. Fischer and C. Stevens, Information access in complex, poorly structured information spaces. in: Proceedings of ACM Special Interest Group on Human Computer Interaction Annual Conference, ACM, New York, 1991, 63-70.

....system satisfy the pseudo monotone property,itwould also satisfy the sequential decreasing property. As a consequence, in this system, the filtering result of batch processing is equivalent to that of sequential processing and parallel processing. 5. 2 Application to Related Work The INFOSCOPE[3] and Lyric Time[5] systems filter data by keyword matching. INFOSCOPE applies to news groups, while Lyric Time plays music in real time. Since these filtering systems satisfy the monotone and consistency properties until the user s profile is updated, the filtering results of batch processing, ....

G. Fischer and C. Stevens: Information access in complex, poorly structured information spaces, in Proc. Human Factors in Computing Systems CHI'91 Conference, pp. 63--70 (1991).

....relevance judgements on documents read to other users of the system. 1. Introduction Users of e mail and other on line communication systems are faced with the problem of selecting relevant information in a space of different information sources. To overcome this information overload problem [1] information filtering techniques are being developed to deliver information to users. State of the art filtering systems, e.g. Information Lens System [2] EDS Template Filler [3] Tapestry [4] Iscreen [5] or Scisor [6] show one or more of the following disadvantages: 1) lack of cognitive ....

G. Fischer, C. Stevens, Information Access in comples, poorly structured information spaces, Proceedings CHI conference, pp.63-70, April 1991.

....to satisfy two different goals. The first goal is to assist users in discovering what resources are available. The second goal is to assist users in resource management, or keeping track of interesting resources that they have previously found (a problem some refer to as information retrieval [Fischer Stevens 1990]) Essentially, the problem with our initial caching mechanism was that it tried to address both goals with a single cache. Therefore, we modified aftpcache to use two separate caches, with separate cache management policies. Furthermore, we modified aftpcache so that it did not retrieve and cache ....

G. Fischer and C. Stevens. Information Access in Complex, Poorly Structured Information Spaces. Tech. Rep. CU-CS-461-90, Dept. Comput. Sci., Univ. Colorado, Boulder, CO, Feb. 1990.

....are faced with the problem of selecting relevant information in a space of different information sources. Participants of on line conferences, members of officeinformation systems, and e mail users get into troubles with an endless stream of messages. To overcome this information overload problem [1] information filtering techniques have been developed to deliver information to those users who really need it. The system presented Cognitive Information Filtering System (CIFS) applies to genetic adaptation to learn from user feedback and user behavior. CIFS distils e mails from the input ....

.... Type of information objects Construction filter Rule based Query based User support for rules queries Queries Datacycle [4] Documents User Fuzzy queries Filter: SQL and Fuzzy queries Lens [5] Documents User rule based Templates Inference Network [6] Documents User query based Infoscope [1] Documents User agents rule based Heuristics Iscreen [7] Documents User rule based Conflict detection, explanation What If queries Lyric time [8] Music System rule based Pasadena [9] Documents User query based User dialogue Filter: Queries Scisor [10] Documents User query based Tapestry ....

G. Fischer, C. Stevens, Information Access in comples, poorly structured information spaces, Proceedings CHI conference, April 1991, pp.63-70.

....with the problem of selecting relevant information in a space of different information sources. Participants of on line conferences, members of office information systems, and network diary makers are confronted with an endless stream of messages. To overcome this information overload problem [1] information filtering techniques have been developed to deliver information to users who really need it. State of the art IFS, e.g. Information Lens System [2] EDS Template Filler [3] or Isceen [4] offer a static behavior. A cognitive information system should have the ability to learn and be ....

G. Fischer, C. Stevens. Information Access in Complex, Poorly Structured Information Spaces. Proc. CHI Conf., pp.63-70, April 1991.

....neatly onto individual mailing lists. All the information used by Tapestry about user interests is provided explicitly by users and modelled in the filters. When the user s interests change the user must explicitly change their filters as Tapestry is unable to do it automatically. Infoscope [8] is a similar system for filtering Usenet news articles. Virtual newsgroups are created for a specific user interest combining two or more real newsgroups. For example, users interested in CLOS (Common Lisp Object System) may be unable to find relevant articles if there is no CLOS newsgroup and ....

Gerhard Fischer and Curt Stevens. Information access in complex, poorly structured information spaces. In Proceedings of CHI'91, pages 400--407, 1991.

....from examples. 1 Introduction Users of electronic mail, the World Wide Web, or other on line information systems are more and more confronted with the problem of selecting out of the huge information space just the information that is relevant to them. To solve this information overload problem [13] information filtering systems emerged within the last few years, with the aim of supporting the user with this difficult task [8] However, many existing information filtering systems offer only static behavior, i.e. they cannot adjust to changes of the user s interests with time. Besides this, ....

G. Fischer and C. Stevens. Information access in complex, poorly structured information spaces. In CHI Conf., pages 63--70, 1991.

....perspective, which is strongly influenced by results from research on situated cognition, the situated filtering approach shares similarities with traditional recommender or information filtering approaches. Similar to most advanced filtering and recommending approaches in the Usenet domain [7, 22, 21] or in the WWW domain [1, 15, 2] the situated information filtering system spynews exploits data gained for free [15] by monitoring the user s behavior. However, based on the user s actions, these approaches try to infer what the user is interested in. spynews is different in that it avoids to ....

....are not used to infer what the user is interested in. Also, the consequences of the interpretations are weak and interactivity ensures allows the user to accept or reject the indicated consequences. In particular, spynews shares basic assumptions with two of the above mentioned systems, INFOSCOPE [7] and Letizia [15] Both systems aim at supporting the user instead of completely automating the task at hand. Both systems try to make the best use of the most limited resource of the user, which is the user s attention. Also, both systems try to keep the context of their recommendations: Letizia ....

Gerhard Fischer and Curt Stevens. Information access in complex, poorly structured information spaces. In Proceedings of the Annual ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'91), pages 63--70. ACM Press, April 1991.

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Fischer, G., Stevens, C.: Information Access in Complex, Poorly Structured Information Spaces. In Proceedings of CHI

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Fischer, G., Stevens, C. Information Access in Complex, Poorly Structured Information Spaces. In Proceedings of CHI 1991.

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Fischer, G.; Stevens, C. Information access in complex, poorly structured information spaces. CHI'91, Human Factors in Computing Systems, 1991. 3838

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