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Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide controllable adjustment range, which thereby makes it possible to provide optional modes of recommendation aiming different kinds of users.
Features
- recommender system
- data mining
- CF-I,CF-U,SLOPE_ONE,MRA
- adjusting algorithm
- improved model
Project Samples
License
Creative Commons Attribution LicenseFollow MRA
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User Reviews
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excellent！！
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Welcome to share this new model for study! :) And finding partners and cooperation.
