Method and system for recommending order
A technology of recommended items and recommended lists, applied in the field of information processing, can solve the problems of narrow coverage of recommended items and inability to reflect the diversity of recommended items, and achieve the effect of wide coverage and meeting user needs
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Embodiment 1
[0022] figure 1 It shows the implementation flow of the method for recommending ranking provided by Embodiment 1 of the present invention, which is described in detail as follows:
[0023] It should be noted that, in this embodiment and the following embodiments, the recommendation system generates a preliminary recommendation result, the preliminary recommendation result is a vector with a dimension of n, and each recommendation item of the preliminary recommendation result includes the recommended item id, recommendation degree .
[0024] In step S101, according to the preset correlation factors, define the recommended correlation function, recommended ranking function and related average precision RMAP function
[0025] In this embodiment, it is first necessary to determine the preset correlation factors that affect the ranking of recommended items from among the many correlation factors that affect the ranking of recommended items. The preset correlation factors include b...
Embodiment 2
[0079] figure 2 A specific structural block diagram of the system for ranking recommendations provided by Embodiment 2 of the present invention is shown. For convenience of description, only parts related to the embodiment of the present invention are shown. In this embodiment, the system for ranking recommendations includes: a function definition unit 21, an optimal factor acquisition unit 22, a ranking value calculation unit 23, and a recommendation list generation unit 24, and the function definition unit 21 includes: a function definition module 211, The optimal factor acquisition unit 22 includes a first calculation module 221, a partial derivative value acquisition module 222, a second calculation module 223 and an optimal value acquisition module 224, and the ranking value calculation unit 23 includes an optimal correlation acquisition module 231 and ranking value acquisition module 232.
[0080] Wherein, the function definition unit 21 is used to define a recommended...
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