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» Maximum Margin Ranking Algorithms for Information Retrieval
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CIKM
2011
Springer
12 years 7 months ago
Factorization-based lossless compression of inverted indices
Many large-scale Web applications that require ranked top-k retrieval are implemented using inverted indices. An inverted index represents a sparse term-document matrix, where non...
George Beskales, Marcus Fontoura, Maxim Gurevich, ...
HT
2011
ACM
12 years 11 months ago
Bridging link and query intent to enhance web search
Understanding query intent is essential to generating appropriate rankings for users. Existing methods have provided customized rankings to answer queries with different intent. W...
Na Dai, Xiaoguang Qi, Brian D. Davison
SIGIR
2010
ACM
13 years 11 months ago
Extending average precision to graded relevance judgments
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...
SIGIR
2003
ACM
14 years 28 days ago
Evaluating different methods of estimating retrieval quality for resource selection
In a federated digital library system, it is too expensive to query every accessible library. Resource selection is the task to decide to which libraries a query should be routed....
Henrik Nottelmann, Norbert Fuhr
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
14 years 15 days ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...