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» Aggregating User-Centered Rankings to Improve Web Search
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AIRWEB
2008
Springer
14 years 11 months ago
Query-log mining for detecting spam
Every day millions of users search for information on the web via search engines, and provide implicit feedback to the results shown for their queries by clicking or not onto them...
Carlos Castillo, Claudio Corsi, Debora Donato, Pao...
IPM
2008
100views more  IPM 2008»
14 years 9 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
SIGIR
2010
ACM
14 years 9 months ago
Learning to rank query reformulations
Query reformulation techniques based on query logs have recently proven to be effective for web queries. However, when initial queries have reasonably good quality, these techniqu...
Van Dang, Michael Bendersky, W. Bruce Croft
RIAO
2007
14 years 11 months ago
Contextual Search Using Ontology-Based User Profiles
Search engines, generally, return results without any regard for the concepts in which the user is interested. In this paper, we present our approach to personalizing search engin...
Vishnu Challam, Susan Gauch, Aravind Chandramouli
ECIR
2007
Springer
14 years 11 months ago
Enhancing Expert Search Through Query Modeling
An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps t...
Pavel Serdyukov, Sergey Chernov, Wolfgang Nejdl