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Product recommendation systemusing collaborative filtering and association rule

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dc.contributor.advisor Dr. Vatcharaporn Esichaikul (Chairman) en_US
dc.contributor.advisor Prof. Peter Haddawy (Member) en_US
dc.contributor.advisor Dr. Donyaprueth Krairit (Member) en_US
dc.contributor.author Waralee Wongsiri en_US
dc.date.accessioned 2015-01-12T10:43:25Z
dc.date.available 2015-01-12T10:43:25Z
dc.date.issued 2007 en_US
dc.identifier.other AIT RSPR no.IM-07-06 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/458
dc.description 98 p. en_US
dc.description.abstract With the growth of the World Wide Web, many companies are now using the Internet to market products or offer information services. Among the huge number of e-commerce web sites, the web sites that simply list products and information are not very attractive to customers. The way to make e-commerce web site more attractive to customer is applying product recommendation system to offer the right products to the right customers. This research built the recommendation system by integrating collaborative filtering and association rules in order to develop a product recommendation system and implement a prototype of product recommendation system on a selected web site. This research divides customers into two group: new customer and returning customer. For new customer, the system used collaborative filtering based on customer’s profile to generate the list of recommended products. For returning customer, the system used collaborative filtering based on order history and association rules for generating recommended products. By using the integrated method, the system has a list of recommended product for both new customers and returning customers. en_US
dc.description.sponsorship Royal Thai Government (RTG) en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Electronic commerce en_US
dc.subject Recommendation system en_US
dc.title Product recommendation systemusing collaborative filtering and association rule en_US
dc.type Research Report en_US


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