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WWW
2002
ACM
14 years 8 months ago
Topic-sensitive PageRank
In the original PageRank algorithm for improving the ranking of search-query results, a single PageRank vector is computed, using the link structure of the Web, to capture the rel...
Taher H. Haveliwala
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
Learning to Rank for Personalized News Article Retrieval
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
Lorand Dali, Blaz Fortuna, Jan Rupnik
WEBI
2007
Springer
14 years 1 months ago
Experimental Bounds on the Usefulness of Personalized and Topic-Sensitive PageRank
PageRank is an algorithm used by several search engines to rank web documents according to their assumed relevance and popularity deduced from the Web’s link structure. PageRank...
Sinan Al-Saffar, Gregory L. Heileman
JCDL
2010
ACM
187views Education» more  JCDL 2010»
13 years 9 months ago
Social network document ranking
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-H...