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The quality of information filtering systems is dictated by the quality of the underlying user profile. Most conventional profiles are simply a set of words that describe user interests. While such profiles may be sufficient for casual users, the profile must be much broader in scope before filtering systems prove to be useful in a corporate enviro...
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... Entries Per Input Field While the prototype design specifies that the user must be allowed to enter multiple keywords per input field, Access expects an input field to contain a single entry. Therefore a routine was required to extract individual keywords from a comma-delimited list of keywords in an input field. When the user completes data entry in a field and exits the field, the category and keywords are saved to a temporary file. If the input field contains a list of keywords separated by commas, then the string is parsed and each keyword is extracted and saved. Because the keywords are not permanently saved until the save command is issued, the user can return to a previously completed field and add, modify, or delete entries. Figure 6.3 shows a sample input screen containing multiple entries. Detection of Duplicate Entries It is not necessary to store duplicate keywords in the profiles, and therefore when the save command is issued the routine checks each keyword before it is saved to be sure that it does not already appear in the profile. If it is already included in the profile then the user is alerted and that keyword is not duplicated in the profile. Similarly, when the user is completing an input form, the input routine prevents the entry of duplicate keywords on a form. For example, if the user enters "construction" in one field, any attempt to enter it in another field will result in a warning message. Thus, duplicates are prevented both on the input forms and in the ...
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... The framework will then take into account, in addition to the 'traditional' user profile, which is built on the basis of the user's search history, the evolution of the user's needs (goals) thanks to the calculation of the updated usefulness of the information to be provided to the user. Similarly, our proposed measure could be adapted to Collaborative Filtering approaches for which Parker in his very visionary work (Parker, 1995) underlined the interest to take into account holistic profiles instead of history-based search profiles in order to also consider the dynamic aspects of the user's interests. Another possible application of our work is to adapt/apply our usefulness measure to question-answering systems in order to take into consideration the evolution of the user information needs. ...
We propose a logic-based framework to model a system whose aim is to help provide the user with those pieces of information that are useful with respect to his/her current information need, as well as relevant to his/her query. More precisely, we propose three measures of information usefulness which take into account the fact that the user can be represented as a cognitive agent endowed with some beliefs—a partial “picture” about what it already knows—and goals—a certain state of affairs in which the agent would like to be. This paper extends a previous version of the framework by considering a more realistic hypothesis, according to which there are several ways to achieve goals. We present three different approaches: the binary approach , the ordinal approach , and the numerical approach . We take information retrieval (IR) as a particular application domain, and we compare some existing measures with the usefulness measure we introduce here.
... Depending on the scientific purpose or practical problem of a research study, a certain type of validity might be more significantly relevant to the research study than are the others. While previous research suggests that internal validity and extemal validity are particularly relevant to the prototype approach (e.g., Ottaway, 995;Parker, 1995), the present research asserts that interpretative validity and extemal validity are significantly relevant to the unified approach. ...
... however, the validation ofthe model is conducted in a bottom-up manner (Parker, 1995). ...
The Internet has become the global infrastructure supporting information acquisition and retrieval from many heterogeneous data sources containing high-speed text and rich multimedia images, audio, and video. AgentRAIDER is an ongoing research project at Texas Tech University designed to develop a comprehensive architecture for an intelligent information retrieval system with distributed heterogeneous data sources. The system is designed to support intelligent retrieval and integration of information from the Internet. Current systems of this nature focus only on specific aspects of the distributed heterogeneous problem such as database queries or information filtering. Consequently, these concepts and others have never been successfully integrated into a unified, cohesive architecture. This paper discusses the design and implementation of the AgentRAIDER system and identifies areas for applications of the system in various domains.
Information retrieval from the Internet is becoming a commonplace phenomenon. Users and consumers are browsing websites and
seeking various kinds of information for personal use. Retrieving quality information from the Internet can be challenging
even for the computer-savvy. There are several search engines, even some personalized, to help users search for information
on the Internet. In spite of all the claims about search engines, users still have difficult time retrieving relevant information
quickly. This paper proposes a general conceptual model for user-centered quality information retrieval (UCQIR) from the Internet.
The UCQIR conceptual model is presented in an architectural form. The UCQIR architectural model uses the concept of “Task-performer”
to present various aspects of an information retrieval system at the knowledge level. Task-performer is an abstract construct
used to conceptualize the idea of an entity that is competent in doing its tasks. The UCQIR architectural model can be used
to easily design and develop domain-specific, user-centered quality information retrieval systems. The proposed UCQIR conceptual
model is unique and comprehensive. The use of the conceptual model is illustrated through a design of a patient-centered quality
medical information retrieval for the medical domain. We also present an experimental evaluation of a UCQIR prototype based
upon real user experiences. The experimental results are very positive.
