Authors: Shtykh, Roman Y.¹; Jin, Qun²

Source: International Journal of Advanced Intelligence Paradigms, Volume 1, Number 4, 25 June 2009 , pp. 377-397(21)

Publisher: Inderscience Publishers

Abstract:

User profiling is a widely used technique to analyse and store user interests and preferences to apply this knowledge to improve user experiences with information systems. In this research paper, we present an approach for dynamically constructing user profiles, particularly from uniform relevance feedback in information-seeking activities. We propose an inference method for user interests, which we call High-Similarity Sequence Data-Driven (H2S2D) clustering and discuss its peculiarities and show its superiority for the creation of high-quality concepts, which are the elementary constituents of user profiles. To reflect the volatility of user interests and emphasise the steadiness of persistent preferences, we adopt recency, frequency and persistency as the three main criteria for multi-layered dynamic profile construction and update.

Keywords: COMPUTING AND MATHEMATICS JOURNALS; Computing Science, Applications and Software; TECHNICAL JOURNALS; Electronic Systems, Control and Artificial Intelli

Document Type: Research article

DOI: http://dx.doi.org/10.1504/IJAIP.2009.026760

Affiliations: 1: Networked Information Systems Laboratory, Faculty of Human Sciences, Waseda University, Japan. 2: Networked Information Systems Laboratory, Faculty of Human Sciences, Waseda University, Japan

Publication date: 2009-06-25

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• The International Journal of Advanced Intelligence Paradigms fosters the exchange and dissemination of applications and case studies in the area of advanced intelligence paradigms among professionals in education and research. The thrust of the journal is to publish papers dealing with the design, development, testing, implementation and management of advanced intelligent systems and also to provide practical guidelines in the development and management of these systems. The International Journal of Advanced Intelligence Paradigms will publish both archival articles and broader assessments of current trends. It provides a medium for exchanging scientific research and technological achievements accomplished by the international community.

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