Optimized Model of Recommendation System for E-Commerce Website

Provided by: Global Journals
Topic: Developer
Format: PDF
In this paper, the authors are to optimize the recommendation system by creating a new model of recommender system with different services in a global e-commerce website. In this model the most effective data sources are integrated to increase the accuracy of recommendations system, which provides the client more intuitive browsing categories interface. The sources used for this model are the user's searching log on the global website, and data referred extracted from search engines, more clicked URLs, highly rated items, and the recommendation algorithms of new users and new items.

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