Zhang, Peng; Song, Dawei; Hou, Yuexian; Wang, Jun and Bruza, Peter
(2010).
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| URL: | http://www.aaai.org/ocs/index.php/FSS/FSS10/paper/... |
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Abstract
A key concept in many Information Retrieval (IR) tasks, e.g. document indexing, query language modelling, aspect and diversity retrieval, is the relevance measure- ment of topics, i.e. to what extent an information object (e.g. a document or a query) is about the topics. This paper investigates the interference of relevance mea- surement of a topic caused by another topic. For ex- ample, consider that two user groups are required to judge whether a topic q is relevant to a document d, and q is presented together with another topic (referred to as a companion topic). If different companion topics are used for different groups, interestingly different rel- evance probabilities of q given d can be reached. In this paper, we present empirical results showing that the relevance of a topic to a document is greatly affected by the companion topic’s relevance to the same document, and the extent of the impact differs with respect to different companion topics. We further analyse the phenomenon from classical and quantum-like interference perspectives, and connect the phenomenon to nonreality and contextuality in quantum mechanics. We demonstrate that quantum like model fits in the empirical data, could be potentially used for predicting the relevance when interference exists.
| Item Type: | Conference Item |
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| Copyright Holders: | 2010 Association for the Advancement of Artificial Intelligence |
| Academic Unit/Department: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Related URLs: | |
| Item ID: | 35126 |
| Depositing User: | Dawei Song |
| Date Deposited: | 01 Nov 2012 10:58 |
| Last Modified: | 03 Aug 2016 13:38 |
| URI: | http://oro.open.ac.uk/id/eprint/35126 |
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