User profiles for information retrieval

Sanjiv K. Bhatia, Jitender S. Deogun, Vijay V. Raghavan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationMethodologies for Intelligent Systems - 6th International Symposium, ISMIS 1991, Proceedings
EditorsZbigniew W. Ras, Maria Zemankova
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783540545637
StatePublished - 1991
Event6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991 - Charlotte , United States
Duration: Oct 16 1991Oct 19 1991

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume542 LNAI Part F2
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other6th International Symposium on Methodologies for Intelligent Systems, ISMIS 1991
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'User profiles for information retrieval'. Together they form a unique fingerprint.

Cite this