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» Learning Recurrent Event Queries for Web Search
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ACL
2006
13 years 10 months ago
Exploring Distributional Similarity Based Models for Query Spelling Correction
A query speller is crucial to search engine in improving web search relevance. This paper describes novel methods for use of distributional similarity estimated from query logs in...
Mu Li, Muhua Zhu, Yang Zhang, Ming Zhou
CIKM
2009
Springer
13 years 9 months ago
Improving search engines using human computation games
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
EMNLP
2009
13 years 6 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...
ATAL
2004
Springer
14 years 2 months ago
QueryTracker: An Agent for Tracking Persistent Information Needs
Most people have long term information interests. Current Web search engines satisfy immediate information needs. Specific sites support tracking of long term interests. We prese...
Gabriel Somlo, Adele E. Howe
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 4 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...