TY - GEN
T1 - Improve ranking by using image information
AU - Yu, Qing
AU - Shi, Shuming
AU - Li, Zhiwei
AU - Wen, Ji-Rong
AU - Ma, Wei-Ying
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2007
Y1 - 2007
N2 - This paper explores the feasibility of including image information embedded in Web pages in relevance computation to improve search performance. In determining the ranking of Web pages against a given query, most (if not all) modern Web search engines consider two kinds of factors: text information (including title, URL, body text, anchor text, etc) and static ranking (e.g. PageRank [1]). Although images have been widely used to help represent Web pages and carry valuable information, little work has been done to take advantage of them in computing the relevance score of a Web page given a query. We propose, in this paper, a framework to contain image information in ranking functions. Preliminary experimental results show that, when image information is used properly, ranking results can be improved. © Springer-Verlag Berlin Heidelberg 2007.
AB - This paper explores the feasibility of including image information embedded in Web pages in relevance computation to improve search performance. In determining the ranking of Web pages against a given query, most (if not all) modern Web search engines consider two kinds of factors: text information (including title, URL, body text, anchor text, etc) and static ranking (e.g. PageRank [1]). Although images have been widely used to help represent Web pages and carry valuable information, little work has been done to take advantage of them in computing the relevance score of a Web page given a query. We propose, in this paper, a framework to contain image information in ranking functions. Preliminary experimental results show that, when image information is used properly, ranking results can be improved. © Springer-Verlag Berlin Heidelberg 2007.
KW - Image importance
KW - Image information
KW - Relevance
KW - Web search
UR - https://www.scopus.com/pages/publications/37149028218
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-37149028218&origin=recordpage
U2 - 10.1007/978-3-540-71496-5_62
DO - 10.1007/978-3-540-71496-5_62
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 3540714944
SN - 9783540714941
VL - 4425 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 645
EP - 652
BT - Advances in Information Retrieval - 29th European Conference on IR Research, ECIR 2007, Proceedings
PB - Springer Verlag
T2 - 29th European Conference on IR Research, ECIR 2007
Y2 - 2 April 2007 through 5 April 2007
ER -