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Lalmas, Mounia
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Beyond entities: promoting explorative search with bundles
Bordino I., Lalmas M., Mejova Y., Van Laere O. Information Retrieval 19(5): 447-486, 2016. Type: Article
Search results are usually ranked lists of documents relevant to query terms. In this paper, the entity search results are bundled with those beyond the query term, by constructing the entity network where extracted entities and pairwi...
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Jan 25 2017
What can quantum theory bring to information retrieval
Piwowarski B., Frommholz I., Lalmas M., van Rijsbergen K. CIKM 2010 (Proceedings of the 19th ACM International Conference on Information and Knowledge Management, Toronto, ON, Canada, Oct 26-30, 2010) 59-68, 2010. Type: Proceedings
It’s strange to find the terms “quantum theory” and “information retrieval” together in a sentence about processing documents. As this paper reports, the authors, inspired by quantum th...
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May 13 2011
Evaluating the effectiveness of content-oriented XML retrieval methods
Gövert N., Fuhr N., Lalmas M., Kazai G. Information Retrieval 9(6): 699-722, 2006. Type: Article
Issues related to component-based Extensible Markup Language (XML) document retrieval are discussed in this paper. The work focuses primarily on the new well-suited user behavior-based evaluation metrics, such as exhaustiveness and spe...
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Apr 6 2007
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
Crestani F., Lalmas M., Van Rijsbergen C., Campbell I. ACM Computing Surveys 30(4): 528-552, 1998. Type: Article
This useful review provides a competent, clear, andaccessible account of retrieval models that takeprobability as their grounding notion in defining the relevance relationbetween queries and documents. These models are divided into two...
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Jun 1 1999
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