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» CT-Rank: A Time-aware Ranking Algorithm for Web Search
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WWW
2006
ACM
15 years 10 months ago
Detecting semantic cloaking on the web
By supplying different versions of a web page to search engines and to browsers, a content provider attempts to cloak the real content from the view of the search engine. Semantic...
Baoning Wu, Brian D. Davison
WWW
2010
ACM
15 years 4 months ago
New-web search with microblog annotations
Web search engines discover indexable documents by recursively ‘crawling’ from a seed URL. Their rankings take into account link popularity. While this works well, it introduc...
Tom Rowlands, David Hawking, Ramesh Sankaranarayan...
IPM
2008
100views more  IPM 2008»
14 years 9 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
SIGIR
2009
ACM
15 years 4 months ago
Counting ancestors to estimate authority
The AncestorRank algorithm calculates an authority score by using just one characteristic of the web graph—the number of ancestors per node. For scalability, we estimate the num...
Jian Wang, Brian D. Davison
81
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SEMWEB
2004
Springer
15 years 3 months ago
Top-k Query Evaluation for Schema-Based Peer-to-Peer Networks
Abstract. Increasing the number of peers in a peer-to-peer network usually increases the number of answers to a given query as well. While having more answers is nice in principle,...
Wolfgang Nejdl, Wolf Siberski, Uwe Thaden, Wolf-Ti...