Masegosa, A., Joho, H. and Jose, J. (2007) Evaluating query-independent object features for relevancy prediction. Lecture Notes in Computer Science, 4425, pp. 283-294. (doi: 10.1007/978-3-540-71496-5_27)
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Publisher's URL: http://dx.doi.org/10.1007/978-3-540-71496-5_27
Abstract
This paper presents a series of experiments investigating the effectiveness of query-independent features extracted from retrieved objects to predict relevancy. Features were grouped into a set of conceptual categories, and individually evaluated based on click-through data collected in a laboratory-setting user study. The results showed that while textual and visual features were useful for relevancy prediction in a topic-independent condition, a range of features can be effective when topic knowledge was available. We also re-visited the original study from the perspective of significant features identified by our experiments.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jose, Professor Joemon and Joho, Dr Hideo |
| Authors: | Masegosa, A., Joho, H., and Jose, J. |
| Subjects: | Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| College/School: | College of Science and Engineering > School of Computing Science |
| Journal Name: | Lecture Notes in Computer Science |
| Publisher: | Springer |
| ISSN: | 0302-9743 |
| ISSN (Online): | 1611-3349 |
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