TY - GEN
T1 - Effective ranking and recommendation on web page retrieval by integrating association mining and PageRank
AU - Su, Ja Hwung
AU - Wang, Bo Wen
AU - Tseng, Vincent Shin-Mu
PY - 2008/12/1
Y1 - 2008/12/1
N2 - Nowadays, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users with good search results based on special search strategies. However there still exist some problems unsolved for traditional search engines, including: 1) the gap between user's intention and searched results is not easy to narrow down under the global search space, and 2) user's interested pages hidden in the local website are not associated with the search results. To deal with such problems, in this paper, we propose a novel approach for personalized page ranking and recommendation by integrating association mining and PageRank so as to meet user's search goals. Moreover, by mining the users' browsing behaviors, we can successfully bridge the gap between global search results and local preferences. The effectiveness of our proposed approach was verified through experimental evaluations.
AB - Nowadays, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users with good search results based on special search strategies. However there still exist some problems unsolved for traditional search engines, including: 1) the gap between user's intention and searched results is not easy to narrow down under the global search space, and 2) user's interested pages hidden in the local website are not associated with the search results. To deal with such problems, in this paper, we propose a novel approach for personalized page ranking and recommendation by integrating association mining and PageRank so as to meet user's search goals. Moreover, by mining the users' browsing behaviors, we can successfully bridge the gap between global search results and local preferences. The effectiveness of our proposed approach was verified through experimental evaluations.
UR - http://www.scopus.com/inward/record.url?scp=62949170853&partnerID=8YFLogxK
U2 - 10.1109/WIIAT.2008.49
DO - 10.1109/WIIAT.2008.49
M3 - Conference contribution
AN - SCOPUS:62949170853
SN - 9780769534961
T3 - Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
SP - 455
EP - 458
BT - Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
Y2 - 9 December 2008 through 12 December 2008
ER -