Study of the usefulness of known and new implicit indicators and their optimal combination for accurate inference of users interests

Proceedings of the ACM Symposium on Applied Computing

Volumn 2, Issue , 2006, Pages 1118-1119

  Shapira, Bracha ^a   Taieb Maimon, Meirav ^a   Moskowitz, Anny ^a  

^a BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

Implicit and explicit relevance feedback; User studies

Indexed keywords

COMPUTER SCIENCE; FEEDBACK; SEARCH ENGINES;

EXPLICIT RATINGS; IMPLICIT AND EXPLICIT RELEVANCE FEEDBACK; RELEVANCE FEEDBACK; USER STUDIES;

WEB BROWSERS;

EID: 33751035520     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1141277.1141542     Document Type: Conference Paper

References (5)

1. th Intl. Conference on Intelligent User Interfaces (IUI 01), USA, 33-40. 2001.
2. Kelly, D., and Teevan, J. Implicit feedback for inferring user preferences, SIGIR Forum (37),2, 18-28. 2003
3. Oard, D.W., and Kim., J., Implicit feedback for recommender systems. In proceedings of the AAAI Workshop on Recommender Systems. 1998
4. th Annual meeting of the American Society for Information Science and Technology, USA, 38-45. 2001.
5. Montgomery, D.C. Design and Analysis of Experiments. Wiley & Sons, Inc. (ed). 2001.