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» Document and Query Expansion Models for Blog Distillation
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IIR
2010
13 years 9 months ago
An Ontological Representation of Documents and Queries for Information Retrieval Systems
This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information o...
Mauro Dragoni, Célia da Costa Pereira, Andr...
CLEF
2004
Springer
14 years 1 months ago
IR-n r2: Using Normalized Passages
This paper describes the fourth participation of IR-n system (Alicante University) at CLEF conferences. At present conference, we have modified the similarity measure and the que...
Fernando Llopis, Rafael Muñoz, Rafael M. Te...
CIKM
2009
Springer
14 years 2 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
SIGIR
2012
ACM
11 years 10 months ago
Automatic term mismatch diagnosis for selective query expansion
People are seldom aware that their search queries frequently mismatch a majority of the relevant documents. This may not be a big problem for topics with a large and diverse set o...
Le Zhao, Jamie Callan
NLDB
2007
Springer
14 years 1 months ago
Combining Vector Space Model and Multi Word Term Extraction for Semantic Query Expansion
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...
Eric SanJuan, Fidelia Ibekwe-Sanjuan, Juan Manuel ...