Study on A Recommendation Algorithm of Crossing Ranking in E-Commerce

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Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: E-Commerce
Format: PDF
The analysis of the existing recommendation system and the main task in the electronic commerce application and the existing problems of the basis, according to the new user "Cold start" problem, to adopt a user in a number of different categories of electronic commerce website access multi-B2C behavior information recommendation. This paper presents a crossing ranking recommendation algorithm. Its accuracy can be far more than the random recommendation, at the same time keeping and diversity were recommended.
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