International audienceWe deal, in this paper, with the short queries (containing one or two words) problem. Short queries have sufficient information to express their semantics in a non-ambiguous way. Pseudo-relevance feedback (PRF) approach for query expansion is useful in many Information Retrieval (IR) tasks. However, this approach does not work well in the case of very short queries. Therefore, we present instead of PRF a semantic query enrichment method based on Wikipedia. This method expands short queries by semantically related terms extracted from Wikipedia. Our experiments on cultural heritage corpora show significant improvement in the retrieval performance
Web search engines are one of the most popular tools on the Internet which are widely-used by expert...
World Wide Web is growing rapidly so with this rapid expansion in the size of web, Information extra...
Due to large volumes of documents available for retrieval in a search database, an intelligent metho...
International audienceWe deal, in this paper, with the short queries (containing one or two words) p...
National audienceThis paper deals with the short and precise queries problem. Short and precise quer...
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many informa...
Abstract: Identifying topics and concepts associated with a set of documents is a critical task for ...
Abstract. Relevance Feedback methods generally suffer from topic drift caused by words ambiguity and...
The dramatic increase in information on the World Wide Web makes it more difficult for web users usi...
There are many opportunities to improve the interactivity of information retrieval systems beyond th...
Search engines are commonly present as information retrieval applications that help to retrieve rele...
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many informat...
In text-based image retrieval, the Incomplete Annotation Problem (IAP) can greatly degrade retrieval...
Abstract — Wikipedia, the largest online and free encyclopedia often extracts extraneous information...
Query Expansion using Pseudo Relevance Feedback is a useful and a popular technique for reformulatin...
Web search engines are one of the most popular tools on the Internet which are widely-used by expert...
World Wide Web is growing rapidly so with this rapid expansion in the size of web, Information extra...
Due to large volumes of documents available for retrieval in a search database, an intelligent metho...
International audienceWe deal, in this paper, with the short queries (containing one or two words) p...
National audienceThis paper deals with the short and precise queries problem. Short and precise quer...
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many informa...
Abstract: Identifying topics and concepts associated with a set of documents is a critical task for ...
Abstract. Relevance Feedback methods generally suffer from topic drift caused by words ambiguity and...
The dramatic increase in information on the World Wide Web makes it more difficult for web users usi...
There are many opportunities to improve the interactivity of information retrieval systems beyond th...
Search engines are commonly present as information retrieval applications that help to retrieve rele...
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many informat...
In text-based image retrieval, the Incomplete Annotation Problem (IAP) can greatly degrade retrieval...
Abstract — Wikipedia, the largest online and free encyclopedia often extracts extraneous information...
Query Expansion using Pseudo Relevance Feedback is a useful and a popular technique for reformulatin...
Web search engines are one of the most popular tools on the Internet which are widely-used by expert...
World Wide Web is growing rapidly so with this rapid expansion in the size of web, Information extra...
Due to large volumes of documents available for retrieval in a search database, an intelligent metho...