@inproceedings{aae531f432374622884f89f6f1b28344,
title = "User profiles for information retrieval",
abstract = "An information retrieval system retrieves a set of bibliographic citations in response to a user query. The user formulates a query by selecting Ireywords that express his/her information needs. In query formulation, different persons may use same terms to imply different meaning based on their background and experience. The system, however, is unable to perceive different user viewpoints of terms because the system is built to assign a unique meaning to each term. In this paper, we develop the technique for constructing user profiles to enable the system to learn individual user interpretation of keywords. The user profiles arc developed by elicitmg user opinion, as we] as vocabulary, by employing techniques from Personal Construct Theory. The elicited opinion is analysed through machine learning heuristics, This leads to a user profile that correlates user vocabulary to index terms in system representation of documents. The techniques are experimentally validated.",
author = "Bhatia, {Sanjiv K.} and Deogun, {Jitender S.} and Raghavan, {Vijay V.}",
year = "1991",
doi = "10.1007/3-540-54563-8_74",
language = "English (US)",
isbn = "9783540545637",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "102--111",
editor = "Ras, {Zbigniew W.} and Maria Zemankova",
booktitle = "Methodologies for Intelligent Systems - 6th International Symposium, ISMIS 1991, Proceedings",
note = "6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991 ; Conference date: 16-10-1991 Through 19-10-1991",
}