Proximity enhanced scoring models significantly improve retrieval quality in text retrieval. For XML IR, we can sometimes enhance the retrieval efficacy by exploiting knowledge about the document structure combined with established text IR methods. This paper elaborates on our approach used for INEX 2008 which modifies a proximity scoring model from text retrieval for usage in XML IR and extends it by taking the document structure information into account
Structure matching has been the focus and strength of standard XML querying. However, textual conten...
Traditional information retrieval systems respond to users’ queries with a ranked list of relevant d...
Abstract. This paper suggests the use of proximity measurement in combination with the Okapi probabi...
Proximity enhanced scoring models significantly improve retrieval quality in text retrieval. For XML...
Proximity enhanced scoring models significantly improve retrieval quality in text retrieval. For XML...
Proximity enhanced scoring models significantly improve retrieval quality in text retrieval. For XML...
Scoring models that make use of proximity information usually improve result quality in text retriev...
10 pagesInternational audienceThis paper presents our participation in the Relevant in Context task ...
International audienceWe present in this paper some experiments on the Wikipedia collection used in ...
International audienceWe present in this paper a scoring method for information retrieval based on t...
In addition to purely occurrence-based relevance models, term proximity has been frequently used to...
htmlabstractIn the information retrieval process, functions that rank documents according to their e...
textabstractThis paper discusses our participation in INEX (the Initiative for the Evaluation of XML...
In this paper, we examine how link evidence can be exploited in XML information retrieval (XML IR) f...
International audienceFocused information retrieval is concerned with the retrieval of small units o...
Structure matching has been the focus and strength of standard XML querying. However, textual conten...
Traditional information retrieval systems respond to users’ queries with a ranked list of relevant d...
Abstract. This paper suggests the use of proximity measurement in combination with the Okapi probabi...
Proximity enhanced scoring models significantly improve retrieval quality in text retrieval. For XML...
Proximity enhanced scoring models significantly improve retrieval quality in text retrieval. For XML...
Proximity enhanced scoring models significantly improve retrieval quality in text retrieval. For XML...
Scoring models that make use of proximity information usually improve result quality in text retriev...
10 pagesInternational audienceThis paper presents our participation in the Relevant in Context task ...
International audienceWe present in this paper some experiments on the Wikipedia collection used in ...
International audienceWe present in this paper a scoring method for information retrieval based on t...
In addition to purely occurrence-based relevance models, term proximity has been frequently used to...
htmlabstractIn the information retrieval process, functions that rank documents according to their e...
textabstractThis paper discusses our participation in INEX (the Initiative for the Evaluation of XML...
In this paper, we examine how link evidence can be exploited in XML information retrieval (XML IR) f...
International audienceFocused information retrieval is concerned with the retrieval of small units o...
Structure matching has been the focus and strength of standard XML querying. However, textual conten...
Traditional information retrieval systems respond to users’ queries with a ranked list of relevant d...
Abstract. This paper suggests the use of proximity measurement in combination with the Okapi probabi...