Mixed collaborative recommendation algorithm based on-factor analysis of user and item

Zhao, Hongbin; Wang, Xinhai; Jiao-ping, Yang

doi:10.3724/sp.j.1087.2011.01382

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B Making Recommendations With User Comments1

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“…User rating because the connection on behalf of the origin point of the line will intersect at the origin, the smaller the angle, the more similar the two user representatives, representatives of the angle the greater the similarity between two users is smaller. The cosine of the angle is between -1 and 1 [10]. With this method, we could directly find the users with similar interests.…”

Section: B Making Recommendations With User Commentsmentioning

confidence: 99%

A recommendation system for a web portal

Zhang

et al. 2014

2014 IEEE International Conference on Progress in Informatics and Computing

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the current Web manifests the problem of information overload due to the success of the Web 2.0 paradigm in which users can provide new contents quickly. To help users find the most valuable information, a recommendation system is designed in which we use Euclidean formula to calculate the distance and Cosine formula to calculate the angle to distinguish between different kinds of users. Thus, similar users will receive related items. In the beginning, we will face some problems such as the cold start due to a small amount of data. We will advance some theories to solve the problem. With the proposed method, we can improve the quality of recommendation so that users can find the most valuable information.

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Section: B Making Recommendations With User Commentsmentioning

confidence: 99%