Dynamic recommendation method capable of adapting to user interest changes based on time information
A technology of user interest and time information, applied in the field of personalized recommendation, it can solve the problems of inaccurate recommendation and inability to recommend the latest items of users in time, and achieve the effect of alleviating the sparsity problem and achieving good benefits.
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[0023] In order to make the object, technical solution and advantages of the present invention more clear, 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, not to limit the present invention.
[0024] Such as figure 1 As shown, this method includes the following steps:
[0025] S10, define user set U={u 1 , u 2 ,...,u m}, m represents the total number of users, item set P={p 1 ,p 2 ,...,p n}, n represents the total number of items, and X represents the scoring item x i,j The m*n explicit scoring matrix, x i,j Indicates user i’s explicit rating on item j, where, 1≤i≤m, 1≤j≤n, x i,j The value range of is {1, 2, 3, 4, 5}. If a user i has not rated item j too much, then the corresponding matrix item x i,j Is empty. Therefore, the user-item explicit rating matrix X constructed b...
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