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» Comparing relevance feedback algorithms for web search
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TKDE
2010
284views more  TKDE 2010»
13 years 6 months ago
Unsupervised Semantic Similarity Computation between Terms Using Web Documents
Abstract— In this work, web-based metrics for semantic similarity computation between words or terms are presented and compared with the state-of-the-art. Starting from the funda...
Elias Iosif, Alexandros Potamianos
WWW
2007
ACM
14 years 8 months ago
Determining the user intent of web search engine queries
Determining the user intent of Web searches is a difficult problem due to the sparse data available concerning the searcher. In this paper, we examine a method to determine the us...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
MIR
2004
ACM
200views Multimedia» more  MIR 2004»
14 years 1 months ago
Effective browsing of web image search results
The rapid development of web image search engines has enabled users to search hundred million of images available on the Web. However, due to the unsatisfactory performance of cur...
Hao Liu, Xing Xie, Xiaoou Tang, Zhiwei Li, Wei-Yin...
WWW
2005
ACM
14 years 8 months ago
Algorithmic detection of semantic similarity
Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic meas...
Ana Gabriela Maguitman, Filippo Menczer, Heather R...
ICML
1997
IEEE
14 years 8 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims