Presentation 2009-09-25
A Proposal on Conversational Item Recommender System based on Renewing Sentences according to Users' Thought
Fumiaki MINAMI, Takayuki ITO,
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Abstract(in English) This research is about item recommender system for Electric-Commerce. Interaction with users is very important to catch users' interest, and in this paper, we put forward a new item recommender system. The system has a dialogue with users and catches properties which the users consider while recommending items. In addition, we suppose that we use customer reviews made in open network on the Web to develop the system in the future.
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Keyword(in English) Recommender System / Interactive Interface / Multi-Attribute Utility
Paper # AI2009-16
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Committee AI
Conference Date 2009/9/18(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposal on Conversational Item Recommender System based on Renewing Sentences according to Users' Thought
Sub Title (in English)
Keyword(1) Recommender System
Keyword(2) Interactive Interface
Keyword(3) Multi-Attribute Utility
1st Author's Name Fumiaki MINAMI
1st Author's Affiliation Graduate School of Engineering, Nagoya Institute of Technology()
2nd Author's Name Takayuki ITO
2nd Author's Affiliation Graduate School of Engineering, Nagoya Institute of Technology
Date 2009-09-25
Paper # AI2009-16
Volume (vol) vol.109
Number (no) 211
Page pp.pp.-
#Pages 6
Date of Issue