Offering A Product Recommendation System in E-commerce

Details Offering A Product Recommendation System in E-commerce Offering A Product Recommendation System in E-commerce

2011-09-20

arxiv.org/abs/1109.4257v1

Computer Science

Information Retrieval

9 pages, 2 figures

Scientific paper

This paper proposes a number of explicit and implicit ratings in product recommendation system for Business-to-customer e-commerce purposes. The system recommends the products to a new user. It depends on the purchase pattern of previous users whose purchase pattern is close to that of a user who asks for a recommendation. The system is based on weighted cosine similarity measure to find out the closest user profile among the profiles of all users in database. It also implements Association rule mining rule in recommending the products. Also, this product recommendation system takes into consideration the time of transaction of purchasing the items, thus eliminating sequence recognition problem. Experimental result shows for implicit rating, the proposed method gives acceptable performance in recommending the products. It also shows introduction of association rule improves the performance measure of recommendation system.

Affiliated with

Also associated with

No associations

Rating

Offering A Product Recommendation System in E-commerce does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Offering A Product Recommendation System in E-commerce, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Offering A Product Recommendation System in E-commerce will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-146940