semantic search research ッ
Posts tagged TREC Relevance Feedback
The University of Amsterdam at Trec 2010: Session, Entity, and Relevance Feedback
01 year ago
by in Publications, Unrefereed
We describe the participation of the University of Amsterdam’s ILPS group in the session, entity, and relevance feedback track at TREC 2010. In the Session Track we explore the use of blind relevance feedback to bias a follow-up query towards or against the topics covered in documents returned More >
Combining Concepts and Language Models for Information Access
01 year ago
by in Publications, Theses
Since the middle of last century, information retrieval has gained an increasing interest. Since its inception, much research has been devoted to finding optimal ways of representing both documents and queries, as well as improving ways of matching one with the other. In cases where document annotations or explicit semantics More >
Topical Diversity and Relevance Feedback
02 years ago
by in Publications, Unrefereed
We describe the participation of the University of Amsterdam’s Intelligent Systems Lab in the relevance feedback track at TREC 2009. Our main conclusion for the relevance feedback track is that a topical diversity approach provides good feedback documents. Further, we find that our relevance feedback algorithm seems to help More >
A query model based on normalized log-likelihood
02 years ago
by in Conference Papers, Publications
A query is usually a brief, sometimes imprecise expression of an underlying information need . Examining how queries can be transformed to equivalent, potentially better queries is a theme of recurring interest to the information retrieval community. Such transformations include expansion of short queries to long queries, paraphrasing queries using More >
Incorporating Non-Relevance Information in the Estimation of Query Models
03 years ago
by in Publications, Unrefereed
We describe the participation of the University of Amsterdam’s ILPS group in the relevance feedback track at TREC 2008. We introduce a new model which incorporates information from relevant and non-relevant documents to improve the estimation of query models. Our main findings are twofold: (i) in terms of More >
The University of Amsterdam at Trec 2008
03 years ago
by in Publications, Unrefereed
We describe the participation of the University of Amsterdam’s ILPS group in the blog, enterprise and relevance feedback track at TREC 2008. Our main preliminary conclusions are that estimating mixture weights for external expansion in blog post retrieval is non-trivial and we need more analysis to find out More >