Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Opportunistic exploration of large consumer product spaces
Proceedings of the 1st ACM conference on Electronic commerce
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Experimental Evaluation of Heuristic Optimization Algorithms: A Tutorial
Journal of Heuristics
Interactive Critiquing forCatalog Navigation in E-Commerce
Artificial Intelligence Review
Mobile Commerce for the Masses
IEEE Internet Computing
The FindMe Approach to Assisted Browsing
IEEE Expert: Intelligent Systems and Their Applications
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
Wireless Commerce: Marketing Issues and Possibilities
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
ScentTrails: Integrating browsing and searching on the Web
ACM Transactions on Computer-Human Interaction (TOCHI)
ShoppingGarden — Improving the Customer Experience with On-Line Catalogues
BT Technology Journal
Designing mobile commerce applications
Communications of the ACM - Mobile computing opportunities and challenges
Introduction to recommender systems: Algorithms and Evaluation
ACM Transactions on Information Systems (TOIS)
An Interactive Visual Interface for Online Product Catalogs
Electronic Commerce Research
Evolutionary intelligent agents for e-commerce: Generic preference detection with feature analysis
Electronic Commerce Research and Applications
Generating blogs out of product catalogues: An MDE approach
Journal of Systems and Software
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In the context of m-commerce, small screen size poses serious difficulty for users to browse effectively through a product catalogue, given the limited number of products that may be presented on-screen. Despite the availability of search engines, filters and recommender systems to aid users, these techniques focus on a narrow segment of product offering. The users are thus denied the opportunity to do a more expansive exploration of the products available. This paper describes a novel approach to overcome the constraints of small screen size. Through integration of a product catalogue with a recommender system, an adaptive system has been created that guides users through the process of product browsing. An original technique has been developed to cluster similar positive examples together to identify areas of interest of a user. The performance of this technique has been evaluated and the results proved to be promising.