In this paper we present two contributions: a method to construct simulated document collections suitable for information retrieval evaluation as well as an approach of information retrieval using past queries and based on result combination. Exponential and Zipf distribution as well as Bradford’s law are applied to construct simulated document collections suitable for information retrieval evaluation. Experiments comparing a traditional retrieval approach with our approach based on past queries using past queries show encouraging improvements using our approach
Information retrieval (IR) systems utilize user feedback for generating optimal queries with respect...
We consider the problem of optimally allocating a limited budget to acquire relevance judgments when...
[Abstract] Information Retrieval is not any more exclusively about document ranking. Continuously ne...
International audienceIn this paper we present two contributions: a method to construct simulated do...
In this paper, a new Monte Carlo algorithm to improve precision of information retrieval by using pa...
In Information Retrieval, past searches are a source of useful information for new searches. This pa...
When using information retrieval systems, information related to searches is typically stored in fil...
International audiencePast search results can be an useful source of information in response to a ne...
Information retrieval systems are very complex in nature due to the complex interaction of document,...
Past searches provide a useful source of information for new users (new queries). Due to the lack of...
This work is an initial study on the utility of automatically generated queries for evaluating known...
The goal to build a knowledge base, making "permanent" the user evaluations experiences on search re...
Two competing approaches for document retrieval were first identified by Robertson et al (Robertson,...
Comparative evaluation of Information Retrieval Systems (IRSs) using publically available test coll...
Information overload becomes an immediate issue as the Internet prospers. To improve information ret...
Information retrieval (IR) systems utilize user feedback for generating optimal queries with respect...
We consider the problem of optimally allocating a limited budget to acquire relevance judgments when...
[Abstract] Information Retrieval is not any more exclusively about document ranking. Continuously ne...
International audienceIn this paper we present two contributions: a method to construct simulated do...
In this paper, a new Monte Carlo algorithm to improve precision of information retrieval by using pa...
In Information Retrieval, past searches are a source of useful information for new searches. This pa...
When using information retrieval systems, information related to searches is typically stored in fil...
International audiencePast search results can be an useful source of information in response to a ne...
Information retrieval systems are very complex in nature due to the complex interaction of document,...
Past searches provide a useful source of information for new users (new queries). Due to the lack of...
This work is an initial study on the utility of automatically generated queries for evaluating known...
The goal to build a knowledge base, making "permanent" the user evaluations experiences on search re...
Two competing approaches for document retrieval were first identified by Robertson et al (Robertson,...
Comparative evaluation of Information Retrieval Systems (IRSs) using publically available test coll...
Information overload becomes an immediate issue as the Internet prospers. To improve information ret...
Information retrieval (IR) systems utilize user feedback for generating optimal queries with respect...
We consider the problem of optimally allocating a limited budget to acquire relevance judgments when...
[Abstract] Information Retrieval is not any more exclusively about document ranking. Continuously ne...