Output details
11 - Computer Science and Informatics
University of Edinburgh
Book title
A generative theory of relevance
Type
A - Authored book
DOI
-
Publisher of book
Springer Berlin / Heidelberg
ISBN of book
978-3-540-89363-9
Year of publication
2009
Number of additional authors
0
Additional information
<17> Originality: The book presents a novel way of modelling relevance for the field of Information Retrieval (IR). The model overcomes the limitations of two dominant approaches to IR: the Probabilistic Model and the Language-Modelling Framework.
Significance: The model provides a uniform way of approaching a number of search tasks, including ad-hoc retrieval, cross-language search, image annotation and retrieval, handwriting retrieval and semi-structured search with missing data. The model is formal and effective, showing significant improvements over state-of-the-art (as of 2008) approaches on a number of datasets.
Rigour: The book received positive reviews from three recognised experts in the field.
Interdisciplinary
-
Cross-referral requested
-
Research group
D - Institute for Language, Cognition & Computation
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
