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» Predictive Random Graph Ranking on the Web
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ICPR
2010
IEEE
13 years 9 months ago
Topic-Sensitive Tag Ranking
Social tagging is an increasingly popular way to describe and classify documents on the web. However, the quality of the tags varies considerably since the tags are authored freel...
Yan'An Jin, Ruixuan Li, Zhengding Lu, Kunmei Wen, ...
WWW
2004
ACM
14 years 8 months ago
Efficient pagerank approximation via graph aggregation
We present a framework for approximating random-walk based probability distributions over Web pages using graph aggregation. We (1) partition the Web's graph into classes of ...
Andrei Z. Broder, Ronny Lempel, Farzin Maghoul, Ja...
CISS
2008
IEEE
14 years 1 months ago
A lower-bound on the number of rankings required in recommender systems using collaborativ filtering
— We consider the situation where users rank items from a given set, and each user ranks only a (small) subset of all items. We assume that users can be classified into C classe...
Peter Marbach
SIGIR
2009
ACM
14 years 1 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
WWW
2010
ACM
14 years 2 months ago
SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement
We consider the problem of deep web source selection and argue that existing source selection methods are inadequate as they are based on local similarity assessment. Specificall...
Raju Balakrishnan, Subbarao Kambhampati