Capturing User Intent for Information Retrieval
نویسندگان
چکیده
منابع مشابه
Capturing User Intent for Information Retrieval
We study the problem of employing a cognitive user model for information retrieval in which knowledge about a user is captured and used for improving retrieval performance and user satisfaction. In this proposed research, we improve retrieval performance and user satisfaction for information retrieval by building a user model to capture user intent dynamically through analyzing behavioral infor...
متن کاملModeling Users for Adaptive Information Retrieval by Capturing User Intent
In this chapter, we study and present our results on the problem of employing a cognitive user model for Information Retrieval (IR) in which a user’s intent is captured and used for improving his/her effectiveness in an information seeking task. The user intent is captured by analyzing the commonality of the retrieved relevant documents. The effectiveness of our user model is evaluated with reg...
متن کاملAn Evaluation of the Accuracy of Capturing User Intent for Information Retrieval
This paper reports our evaluation of the accuracy of capturing a user’s intent in an informationseeking task. Specifically, we would like to assess how accurately a user’s short-term goals, methods, and context in an information seeking task have been captured. Our method is to compare a machine-generated model against a human-generated model with 5 users using the CACM collection. Our results ...
متن کاملCapturing User Intent for Analytic Process
We are working on the problem of modeling an analyst’s intent in order to improve collaboration among intelligence analysts. Our approach is to infer the analyst’s goals, commitment, and actions to improve the effectiveness of collaboration. This is a crucial problem to ensure successful collaboration because analyst intent provides a deeper understanding of what analysts are trying to achieve ...
متن کاملOn Modeling Query Refinement by Capturing User Intent through Feedback
SQL queries in relational data model implement the binary satisfaction of tuples. Tuples are generally filtered out from the result set if they miss the constraints expressed in the predicates of the given query. For naïve or inexperienced users posing precise queries in the first place is very difficult as they lack of knowledge of the underlying dataset. Therefore, imprecise queries are commo...
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ژورنال
عنوان ژورنال: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
سال: 2004
ISSN: 2169-5067,1071-1813
DOI: 10.1177/154193120404800321