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» Analysis of Web Search Engine Clicked Documents
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AAAI
2010
13 years 10 months ago
Towards an Intelligent Code Search Engine
Software developers increasingly rely on information from the Web, such as documents or code examples on Application Programming Interfaces (APIs), to facilitate their development...
Jinhan Kim, Sanghoon Lee, Seung-won Hwang, Sunghun...
APWEB
2005
Springer
14 years 2 months ago
Using Probabilistic Latent Semantic Analysis for Personalized Web Search
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
Chenxi Lin, Gui-Rong Xue, Hua-Jun Zeng, Yong Yu
WWW
2004
ACM
14 years 10 months ago
The effect of the back button in a random walk: application for pagerank
Theoretical analysis of the Web graph is often used to improve the efficiency of search engines. The PageRank algorithm, proposed by [5], is used by the Google search engine [4] t...
Fabien Mathieu, Mohamed Bouklit
CIKM
2011
Springer
12 years 9 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
WWW
2007
ACM
14 years 10 months ago
Academic web search engine: generating a survey automatically
Given a document repository, search engine is very helpful to retrieve information. Currently, vertical search is a hot topic, and Google Scholar [4] is an example for academic se...
Ye Wang, Zhihua Geng, Sheng Huang, Xiaoling Wang, ...