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Guiding construction of personal preferences to influence customer choice

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dc.contributor.advisor Haddawy, Peter, Professor (Chairperson) en_US
dc.contributor.author Nguyen Ngoc Minh en_US
dc.date.accessioned 2015-01-12T10:40:58Z
dc.date.available 2015-01-12T10:40:58Z
dc.date.issued 2008-05 en_US
dc.identifier.other AIT Thesis no.CS-08-11 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/365
dc.description 57 p. en_US
dc.description.abstract Many recommender systems have been built to help online consumers to quickly find products suitable to their needs in a huge space of choices. These systems use the technique of eliciting users‟ preferences to recommend suitable products for them. However, whether these products satisfy users depends on the correctness of preferences which users expressed. For users unfamiliar with the product domain, they may need help from the system to construct their preferences. In traditional interaction between a dealer and a buyer, the dealer can consult or affect his customers. Depending on the target of the seller, he can help users find the most suitable products or try to persuade them to choose the products he wants to sell. We consider how to build an automated sales agent that can act similarly to a human seller to affect online consumers‟ decision making process, more especially to steer them toward specific items in product space. 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 Consumer's preferences en_US
dc.title Guiding construction of personal preferences to influence customer choice en_US
dc.type Thesis en_US

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