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» An Information Retrieval Approach to Sense Ranking
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EMNLP
2009
14 years 7 months ago
Improving Web Search Relevance with Semantic Features
Most existing information retrieval (IR) systems do not take much advantage of natural language processing (NLP) techniques due to the complexity and limited observed effectivenes...
Yumao Lu, Fuchun Peng, Gilad Mishne, Xing Wei, Ben...
WWW
2009
ACM
15 years 4 months ago
Building term suggestion relational graphs from collective intelligence
This paper proposes an effective approach to provide relevant search terms for conceptual Web search. ‘Semantic Term Suggestion’ function has been included so that users can f...
Jyh-Ren Shieh, Yung-Huan Hsieh, Yang-Ting Yeh, Tse...
SIGIR
2006
ACM
15 years 3 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
SIGMOD
2007
ACM
198views Database» more  SIGMOD 2007»
15 years 9 months ago
Addressing diverse user preferences in SQL-query-result navigation
Database queries are often exploratory and users often find their queries return too many answers, many of them irrelevant. Existing work either categorizes or ranks the results t...
Zhiyuan Chen, Tao Li
WWW
2011
ACM
14 years 4 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma