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  1. University of Computer Studies, Yangon
  2. Conferences

Building Item–based Recommender System for Ladies' wear Personalization Service

http://hdl.handle.net/20.500.12678/0000004099
http://hdl.handle.net/20.500.12678/0000004099
29cd8b10-c24e-4f24-a167-f0ccbb49ba94
3f269f1d-0ef8-4adb-ba99-85d9eeca1548
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55220.pdf 55220.pdf (412 Kb)
Publication type
Article
Upload type
Publication
Title
Title Building Item–based Recommender System for Ladies' wear Personalization Service
Language en
Publication date 2009-12-30
Authors
Win, Nwe Nwe
Saw, Nang Tom Hawm
Description
In recent years, the need for personalized service has been increased. However, personalization services must be improved to lighten user's burden in the process of personalization and produce results that are more adaptable. As one of the most promising approaches to improve the current personalized services, recommender systems have emerged in domains such as E-commerce, digital libraries. In our work, we firstly attempted to apply a recommender system in the field of E-commerce applications. Then, we decided to build a recommender system for Ladies' wear personalization services to make it more user-friendly and user-adaptive. One of the most successful technologies for recommender system is collaborative filtering. The bottleneck in conventional collaborative filtering algorithm (such as traditional user-based algorithm) is the search for neighbors among a large user population of potential neighbors. Our system uses item-based algorithm to avoid this bottleneck. The algorithm explores the relationships between items first rather than the relationship between users. Because the relationships between items are relatively static, item-based algorithms may be able to provide the same quality as the user-based algorithms with less online computation.
Keywords
personalization service, recommender system, collaborative filtering algorithm, item-based collaborative filtering algorithm
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1802
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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