A content recommendation method and device
A content recommendation and content technology, applied in the field of data processing, can solve problems such as low processing efficiency and waste of storage resources, and achieve the effect of improving processing efficiency, ensuring recommendation effect, and ensuring accuracy
Active Publication Date: 2017-10-20
HISENSE
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Problems solved by technology
[0004] The purpose of the present invention is to provide a content recommendation method and device to solve the problems of low processing efficiency and waste of a large amount of storage resources in the processing process of the existing content recommendation method
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[0021] The technical solutions provided by the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0022] A content recommendation method provided by an embodiment of the present invention is as follows: figure 1 As shown, it specifically includes the following operations:
[0023] Step 100. Acquire data related to user preferences for content.
[0024] Step 110: Determine a utility matrix according to the acquired user preference data on content.
[0025] Among them, the non-empty elements in the utility matrix are the user’s preference value for the content determined according to the preference-related data, and the blank elements in the utility matrix are the user’s preference value for the content to be determined, and one row or column of the utility matrix corresponds to the same user , one column or one row correspond to the same content.
[0026] Step 120. Determine the initial value of each element ...
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The invention discloses a content recommending method and a content recommending device. The method comprises: obtaining preference related data of a user on content; determining a utility matrix according to the obtained data, wherein non-empty elements are the preference value of the user on the content according to the preference related data; determining the initial value of each element in an equivalent matrix of the utility matrix, and performing iteration and update to each element in the equivalent matrix from the initial value of the corresponding element to enable the match degree of each non-empty element in the utility matrix and the corresponding element in the equivalent matrix to reach a set threshold value; using the non-empty element, corresponding to one user, in the utility matrix in each time of iteration and update; filling up blank elements in the utility matrix according to the iterated and updated equivalent matrix; recommending the content according to the utility matrix which has been filled up. Compared with the existing content recommending method, the treatment efficiency of content recommendation is improved, and occupied storage resources in a content recommendation treatment process are reduced. In addition, recommendation result is more accurate, and recommendation effect is better.
Description
technical field [0001] The present invention relates to the technical field of data processing, in particular to a content recommendation method and device. Background technique [0002] Content recommendation includes video recommendation, book recommendation, product recommendation, music recommendation, and so on. [0003] Existing content recommendation methods mainly learn all the acquired preference-related data to establish a recommendation model, and then recommend content to users according to the established recommendation model. Wherein, preference-related data refers to data used to determine a user's degree of preference for content. The problem with this recommendation method is that due to the learning of all preference-related data, the amount of data to be processed is huge, resulting in low processing efficiency and wasting a large amount of storage resources during the processing. Contents of the invention [0004] The purpose of the present invention ...
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IPC IPC(8): G06F17/30
CPCG06F16/2457
Inventor 于旭高雪松周翚胡伟凤许丽星谢杰王洁张帅
Owner HISENSE