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Use of Agents in E Commerce

Employing Intelligent Agents for Product Recommendation in ECommerce Amey Sane CMSC-601 May 11 th 2011. Use of Agents in E Commerce. Product Search/Identification ( eg “ Eyes” by amazon ) Information Brokering Automated Negotiation Web Marketing .

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Use of Agents in E Commerce

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  1. Employing Intelligent Agents for Product Recommendation in ECommerceAmeySaneCMSC-601May 11th2011

  2. Use of Agents in ECommerce • Product Search/Identification (eg “Eyes” by amazon) • Information Brokering • Automated Negotiation • Web Marketing

  3. Proposed Area of Interest: Product Recommendation • Adopted by websites like • Amazon • Netflix • Walmart • Agent should be aware of • Interests • Preferences • Liking • Predict future Needs

  4. Traditional Methods Adopted • Implicit Engines • Explicit Engines • Content Based method • Collaborative Method • Hybrid method

  5. Related Work • Yunhong XU , Jian Ma, “USING SOCIAL NETWORK ANALYSIS AS A STRATEGY FOR E-COMMERCE RECOMMENDATION”, 2009 • Bin 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”, 2003

  6. Proposed Approach • Build a Recommendation System: • Context Aware Agents embedded in mobile device • Agents Deployed to monitor social Network Behavior of User

  7. Context Based Agent Businessman Student Doctor

  8. Agents Monitoring Behavior of User on Social Networks Facebook page

  9. Evaluation Criteria • Experiment 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.

  10. Conclusion • Use of Intelligent agents in different aspects of eCommerce • Traditional methods adopted in Product Recommendation System. • New proposed approaches for Product Recommendation exploiting : • User’s context aware data • Behavior on web.

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