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Peter D. Bruza

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Peter D. Bruza

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Publications by Peter D. Bruza (bibliography)

» 2008 «

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Lau, Raymond Y. K., Bruza, Peter D. and Song, Dawei (2008): Towards a belief-revision-based adaptive and context-sensitive information retrieval system. In ACM Transactions on Information Systems, 26 (2) p. 8

“In an adaptive information retrieval (IR) setting, the information seekers' beliefs about which terms are relevant or nonrelevant will naturally fluctuate. This article investigates how the theory of belief revision can be used to model adaptive IR. More specifically, belief revision logic provides a rich representation scheme to formalize retrieval contexts so as to disambiguate vague user queries. In addition, belief revision theory underpins the development of an effective mechanism to revise user profiles in accordance with information seekers' changing information needs. It is argued that information retrieval contexts can be extracted by means of the information-flow text mining method so as to realize a highly autonomous adaptive IR system. The extra bonus of a belief-based IR model is that its retrieval behavior is more predictable and explanatory. Our initial experiments show that the belief-based adaptive IR system is as effective as a classical adaptive IR system. To our best knowledge, this is the first successful implementation and evaluation of a logic-based adaptive IR model which can efficiently process large IR collections.”

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» 2006 «

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Zhou, Xujuan, Wu, Sheng-Tang, Li, Yuefeng, Xu, Yue, Lau, Raymond Y. K. and Bruza, Peter D. (2006): Utilizing Search Intent in Topic Ontology-Based User Profile for Web Mining. In: 2006 IEEE / WIC / ACM International Conference on Web Intelligence WI 2006 18-22 December, 2006, Hong Kong, China. pp. 558-564. Available online

» 2004 «

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Lau, Raymond Y. K., Bruza, Peter D. and Song, Dawei (2004): Belief revision for adaptive information retrieval. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2004. pp. 130-137. Available online

“Applying Belief Revision logic to model adaptive information retrieval is appealing since it provides a rigorous theoretical foundation to model partiality and uncertainty inherent in any information retrieval (IR) processes. In particular, a retrieval context can be formalised as a belief set and the formalised context is used to disambiguate vague user queries. Belief revision logic also provides a robust computational mechanism to revise an IR system's beliefs about the users' changing information needs. In addition, information flow is proposed as a text mining method to automatically acquire the initial IR contexts. The advantage of a belief-based IRsystem is that its IR behaviour is more predictable and explanatory. However, computational efficiency is often a concern when the belief revision formalisms are applied to large real-life applications. This paper describes our belief-based adaptive IR system which is underpinned by an efficient belief revision mechanism. Our initial experiments show that the belief-based symbolic IR model is more effective than a classical quantitative IR model. To our best knowledge, this is the first successful empirical evaluation of a logic-based IR model based on large IR benchmark collections.”

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» 2001 «

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Wong, Kam-Fai, Song, Dawei, Bruza, Peter D. and Cheng, Chun-Hung (2001): Application of aboutness to functional benchmarking in information retrieval. In ACM Transactions on Information Systems, 19 (4) pp. 337-370

“Experimental approaches are widely employed to benchmark the performance of an information retrieval (IR) system. Measurements in terms of recall and precision are computed as performance indicators. Although they are good at assessing the retrieval effectiveness of an IR system, they fail to explore deeper aspects such as its underlying functionality and explain why the system shows such performance. Recently, inductive (i.e., theoretical) evaluation of IR systems has been proposed to circumvent the controversies of the experimental methods. Several studies have adopted the inductive approach, but they mostly focus on theoretical modeling of IR properties by using some metalogic. In this article, we propose to use inductive evaluation for functional benchmarking of IR models as a complement of the traditional experiment-based performance benchmarking. We define a functional benchmark suite in two stages: the evaluation criteria based on the notion of "aboutness," and the formal evaluation methodology using the criteria. The proposed benchmark has been successfully applied to evaluate various well-known classical and logic-based IR models. The functional benchmarking results allow us to compare and analyze the functionality of the different IR models.”

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» 1990 «

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Bruza, Peter D. (1990): Hyperindices: A Novel Aid for Searching in Hypermedia. In: Rizk, Antoine, Streitz, Norbert A. and Andre, Jacques (eds.) ECHT 90 - European Conference on Hypertext November 27-30, 1990, Versailles, France. pp. 109-122.

“In this article the formal basis of hyperindices is given. Hyperindices are a new means for supporting effective search in hypermedia. The basis of the hyperindex, the so called index expression, is treated in detail. It is shown how the hyperindex can be constructed using the structural properties of the index expression. The hyperindex is placed in a general framework for indexes which features quantitative and qualitative criteria with which index effectiveness can be judged.”

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Changes to this page (author)

27 Feb 2010: Enabled abstracts to be shown on Peter D. Bruza's author page.
30 May 2009: Author was edited

08 Apr 2009: Author was edited
24 Jun 2007: Author was edited
28 Apr 2003: Added the author to the bibliography

Publication statistics

Publication period:1990-2008
Publication count:5
Number of co-authors:8

Productive colleagues

Peter D. Bruza's 3 most productive colleagues in number of publications:

Yuefeng Li:19
Dawei Song:14
Kam-Fai Wong:13

Collaboration count

Number of publications with 3 favourite co-authors:

Dawei Song:3
Raymond Y. K. Lau:3
Yuefeng Li:1

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“ The computer can be thought of from the perspective of its technology [...] from the field of computer science. Or it can be thought of as a social tool, a structure that will change social interaction and social policy, for better or for worse. It can be thought of as a personal assistant, where the goals and intentions of the user become of primary concern. It can be viewed from the experience of the user, a view that changes considerably with the task, the person, the design of the system. The filed of human-computer interaction needs all these views, all these issues, and more besides. ”

-- Stephen Draper and Donald Norman. In "User Centered System Design" (1986) p. 1 ”

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Peter D. Bruza

Publications by Peter D. Bruza (bibliography)

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