TY - GEN
T1 - Mining long-lasting exploratory user interests from search history
AU - Tan, Bin
AU - Lv, Yuanhua
AU - Zhai, Chengxiang
PY - 2012
Y1 - 2012
N2 - A user's web search history contains many valuable search patterns. In this paper, we study search patterns that represent a user's long-lasting and exploratory search interests. By focusing on long-lastingness and exploratoriness, we are able to discover search patterns that are most useful for recommending new and relevant information to the user. Our approach is based on language modeling and clustering, and specifically designed to handle web search logs. We run our algorithm on a real web search log collection, and evaluate its performance using a novel simulated study on the same search log dataset. Experiment results support our hypothesis that long-lastingness and exploratoriness are necessary for generating successful recommendation. Our algorithm is shown to effectively discover such search interest patterns, and thus directly useful for making recommendation based on personal search history.
AB - A user's web search history contains many valuable search patterns. In this paper, we study search patterns that represent a user's long-lasting and exploratory search interests. By focusing on long-lastingness and exploratoriness, we are able to discover search patterns that are most useful for recommending new and relevant information to the user. Our approach is based on language modeling and clustering, and specifically designed to handle web search logs. We run our algorithm on a real web search log collection, and evaluate its performance using a novel simulated study on the same search log dataset. Experiment results support our hypothesis that long-lastingness and exploratoriness are necessary for generating successful recommendation. Our algorithm is shown to effectively discover such search interest patterns, and thus directly useful for making recommendation based on personal search history.
KW - recommendation system
KW - search log mining
KW - user modeling
UR - http://www.scopus.com/inward/record.url?scp=84871084750&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871084750&partnerID=8YFLogxK
U2 - 10.1145/2396761.2398456
DO - 10.1145/2396761.2398456
M3 - Conference contribution
AN - SCOPUS:84871084750
SN - 9781450311564
T3 - ACM International Conference Proceeding Series
SP - 1477
EP - 1481
BT - CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management
T2 - 21st ACM International Conference on Information and Knowledge Management, CIKM 2012
Y2 - 29 October 2012 through 2 November 2012
ER -