TY - GEN
T1 - Mining user dwell time for personalized web search re-ranking
AU - Xu, Songhua
AU - Jiang, Hao
AU - Lau, Francis C.M.
PY - 2011
Y1 - 2011
N2 - We propose a personalized re-ranking algorithm through mining user dwell times derived from a user's previously online reading or browsing activities. We acquire document level user dwell times via a customized web browser, from which we then infer conceptword level user dwell times in order to understand a user's personal interest. According to the estimated concept word level user dwell times, our algorithm can estimate a user's potential dwell time over a new document, based on which personalized webpage re-ranking can be carried out. We compare the rankings produced by our algorithm with rankings generated by popular commercial search engines and a recently proposed personalized ranking algorithm. The results clearly show the superiority of our method.
AB - We propose a personalized re-ranking algorithm through mining user dwell times derived from a user's previously online reading or browsing activities. We acquire document level user dwell times via a customized web browser, from which we then infer conceptword level user dwell times in order to understand a user's personal interest. According to the estimated concept word level user dwell times, our algorithm can estimate a user's potential dwell time over a new document, based on which personalized webpage re-ranking can be carried out. We compare the rankings produced by our algorithm with rankings generated by popular commercial search engines and a recently proposed personalized ranking algorithm. The results clearly show the superiority of our method.
UR - http://www.scopus.com/inward/record.url?scp=84881064951&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881064951&partnerID=8YFLogxK
U2 - 10.5591/978-1-57735-516-8/IJCAI11-394
DO - 10.5591/978-1-57735-516-8/IJCAI11-394
M3 - Conference contribution
AN - SCOPUS:84881064951
SN - 9781577355120
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 2367
EP - 2372
BT - IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence
T2 - 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011
Y2 - 16 July 2011 through 22 July 2011
ER -