Information recommendation method and information recommendation system
A technology of information recommendation and recommendation degree, applied in the field of information processing, can solve the problems of not being able to achieve personalized recommendation well, and the coverage rate of recommended items is low, and achieve the effect of improving coverage rate and accuracy.
Inactive Publication Date: 2014-10-08
TENCENT TECH (SHENZHEN) CO LTD
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In the current information recommendation scheme, the mainstream recommendation method adopted is the Item-Based collaborative filtering recommendation algorithm. Based on this information recommendation method, users who use many items will have a great impact on the overall recommendation, and popular The project has a relatively strong relationship with most other projects, and popular projects are easily pushed out, resulting in the recommendation lists that most users get are very popular projects, resulting in a low coverage rate of recommended projects. Good realization of personalized recommendation
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[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.
[0024] figure 1 A schematic flowchart of an embodiment of the information recommendation method of the present invention is shown in . Such as figure 1 As shown, the information recommendation method in the embodiment of the present invention includes steps:
[0025] Step S101: Obtain the association relationship between user information and target object information;
[0026] Step S102: According to the association relationship between each user information and each target object, and the number of users associated with each target object, determine the coverage simi...
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The invention relates to an information recommendation method and an information recommendation system. The method comprises the following steps: obtaining an incidence relation between user information and target object information; determining the similarity degree of coverage rate among target objects with the amount of users associated with the target objects respectively according to the incidence relation between the user information and the target objects; determining the similarity degree of accuracy rate among the target objects with the amount of the target objects associated with the users respectively according to the incidence relation between the user information and the target objects; determining final similarity degree among the target objects according to the similarity degree of coverage rate and the similarity degree of accuracy rate, and determining the score value of recommendation degree of the target objects according to the final similarity degree and the score value of historical recommendation degree of the target objects relative to the user information; determining a list to be recommended according to the score value of recommendation degree of the target objects. Through the adoption of the scheme, the coverage rate for information recommendation is improved, and the accuracy degree for information recommendation is also improved.
Description
technical field [0001] The invention relates to the technical field of information processing, in particular to an information recommendation method and an information recommendation system. Background technique [0002] With the increasing development of information technology, information recommendation based on user preferences, historically concerned information, friends and information followed by friends, etc. has become an important content of current network technology applications. In the current information recommendation scheme, the mainstream recommendation method adopted is the Item-Based collaborative filtering recommendation algorithm. Based on this information recommendation method, users who use many items will have a great impact on the overall recommendation, and popular The project has a relatively strong relationship with most other projects, and popular projects are easily pushed out, resulting in the recommendation lists that most users get are very po...
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IPC IPC(8): G06F17/30
CPCG06F16/2462
Inventor 李霖
Owner TENCENT TECH (SHENZHEN) CO LTD