Output details
11 - Computer Science and Informatics
University of Glasgow
Output title
A comparison of general vs personalised affective models for the prediction of topical relevance
Type
E - Conference contribution
Name of conference/published proceedings
33rd International ACM SIGIR Conference on Research and Development in Information Retrieval Geneva, Switzerland
Volume number
-
Issue number
-
First page of article
371
ISSN of proceedings
-
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
<17> The exploitation of emotional features for information retrieval is studied and resulted in the best student paper award at the ACM SIGIR 2010 conference. SIGIR is the top-rated conference in Information retrieval (CORE A+) and the SIGIR 2010 had an acceptance rate of 17%. This is the first work that showed emotional features can be used in a retrieval model and is a baseline for future work. This builds on our own earlier pioneering work, “Affective feedback: an investigation into the role of emotions in the information seeking process” at the SIGIR 2008 with citations over 47.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
7
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
