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» Methods for comparing rankings of search engine results
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TKDE
2008
231views more  TKDE 2008»
15 years 1 months ago
Personalized Concept-Based Clustering of Search Engine Queries
A major problem of current Web search is that search queries are usually short and ambiguous, and thus are insufficient for specifying the precise user needs. To alleviate this pro...
Kenneth Wai-Ting Leung, Wilfred Ng, Dik Lun Lee
SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
16 years 1 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
TREC
2003
15 years 2 months ago
Ranking Function Discovery by Genetic Programming for Robust Retrieval
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...
HT
2009
ACM
15 years 4 months ago
Context-based ranking in folksonomies
With the advent of Web 2.0 tagging became a popular feature. People tag diverse kinds of content, e.g. products at Amazon, music at Last.fm, images at Flickr, etc. Clicking on a t...
Fabian Abel, Matteo Baldoni, Cristina Baroglio, Ni...
WSDM
2009
ACM
198views Data Mining» more  WSDM 2009»
15 years 8 months ago
Measuring the similarity between implicit semantic relations using web search engines
Measuring the similarity between implicit semantic relations is an important task in information retrieval and natural language processing. For example, consider the situation whe...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...