Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Collaborative information retrieval: toward a social informatics view of IR interaction
Journal of the American Society for Information Science
Capturing human intelligence in the net
Communications of the ACM
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Collaborative relevance judgment: a group consensus method for evaluating user search performance
Journal of the American Society for Information Science and Technology
Modern Information Retrieval
On the recommending of citations for research papers
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
User Models and Filtering Agents for Improved Internet Information Retrieval
User Modeling and User-Adapted Interaction
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Enhancing digital libraries with TechLens+
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
SERF: integrating human recommendations with search
Proceedings of the thirteenth ACM international conference on Information and knowledge management
An Exploratory Study on Knowledge Sharing in Information Retrieval
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 08
Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine
User Modeling and User-Adapted Interaction
VisSearch: a collaborative Web searching environment
Computers & Education
A new user similarity model to improve the accuracy of collaborative filtering
Knowledge-Based Systems
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This study investigated use of collaborative recommendations in web searching. An experimental system was designed. In the experimental system, recommendations were generated in a group report format, including items judged relevant by previous users, search queries and the URLs of documents. The study explored how users used these items, the effects of their use, and what factors contributed to this use. The results demonstrate that users preferred using queries and document sources (URLs), rather than relevance judgment (document ratings). The findings also show that using recommended items had a significant effect on the number of documents viewed, but not on precision or number of queries. Task difficulty and search skills had significant impact on the use. Possible reasons for the results are analyzed. Implications and future directions are discussed.