Recommendation in ECommerce Amey Sane CMSC601 May 11 th 2011 Use of Agents in E Commerce Product SearchIdentification eg Eyes by amazon Information Brokering ID: 274161
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Employing Intelligent Agents for Product Recommendation in ECommerceAmey SaneCMSC-601May 11th 2011Slide2
Use of Agents in ECommerce Product Search/Identification (eg “Eyes” by amazon)Information BrokeringAutomated NegotiationWeb Marketing Slide3
Proposed Area of Interest: Product RecommendationAdopted by websites likeAmazonNetflixWalmartAgent should be aware of
Interests
Preferences
Liking
Predict
future NeedsSlide4
Traditional Methods AdoptedImplicit EnginesExplicit EnginesContent Based methodCollaborative MethodHybrid methodSlide5
Related WorkYunhong XU , Jian Ma, “USING SOCIAL NETWORK ANALYSIS AS A STRATEGY FOR E-COMMERCE RECOMMENDATION”, 2009Bin Xiao, Esma A, , Josef Manuel Fernandez, "PCFinder:An Intelligent Product Recommendation Agent for E-Commerce
,"
2003 IEEE International Conference on
E-Commerce
Sangkil
Moon, Gary J. Russell, “A SPATIAL CHOICE MODEL FOR PRODUCT RECOMMENDATIONS
”, 2003Slide6
Proposed Approach Build a Recommendation System: Context Aware Agents embedded in mobile device Agents Deployed to monitor social Network Behavior of UserSlide7
Context Based AgentDoctorStudent
BusinessmanSlide8
Agents Monitoring Behavior of User on Social NetworksFacebook
pageSlide9
Evaluation CriteriaExperiment with well defined set of users profile like Graduate students etc.Get feedback on quality of recommendation obtained.Extend to include users with different profile.Slide10
ConclusionUse of Intelligent agents in different aspects of eCommerceTraditional methods adopted in Product Recommendation System.New proposed approaches for Product Recommendation exploiting :User’s context aware dataBehavior on web.