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» Measuring Generality of Documents
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134
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WWW
2010
ACM
15 years 10 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
134
Voted
WEBI
2009
Springer
15 years 10 months ago
Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering
We consider the problem of retrieving multiple documents relevant to the single subtopics of a given web query, termed “full-subtopic retrieval”. To solve this problem we pres...
Andrea Bernardini, Claudio Carpineto, Massimiliano...
106
Voted
CIKM
2009
Springer
15 years 10 months ago
A query model based on normalized log-likelihood
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke
121
Voted
CIKM
2009
Springer
15 years 10 months ago
Translating relevance scores to probabilities for contextual advertising
Information retrieval systems conventionally assess document relevance using the bag of words model. Consequently, relevance scores of documents retrieved for different queries a...
Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, ...
136
Voted
SIGIR
2003
ACM
15 years 9 months ago
Automatic ranking of retrieval systems in imperfect environments
The empirical investigation of the effectiveness of information retrieval (IR) systems requires a test collection, a set of query topics, and a set of relevance judgments made by ...
Rabia Nuray, Fazli Can