An online video recommendation method based on wireless access point context classification and perception

A wireless access point and video recommendation technology, which is applied in the fields of instruments, computing, and electrical digital data processing, etc., can solve problems affecting user prediction accuracy, achieve good personalized video recommendation services, solve low scoring rates, and solve The effect of inaccurate scoring

Active Publication Date: 2020-04-10
SUN YAT SEN UNIV
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AI Technical Summary

Problems solved by technology

Therefore, in a video recommendation system, the integration of contextual information into the recommendation method will undoubtedly affect the prediction accuracy of user preference

Method used

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  • An online video recommendation method based on wireless access point context classification and perception
  • An online video recommendation method based on wireless access point context classification and perception
  • An online video recommendation method based on wireless access point context classification and perception

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Experimental program
Comparison scheme
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Embodiment 1

[0068] Such as figure 1 As shown, an online video recommendation method based on wireless access point context classification and perception includes the following steps:

[0069] S1: According to the user's viewing records, train a collaborative filtering recommendation model and an AP classification model;

[0070] S2: Calculate the video recommendation list for a given user according to the trained collaborative filtering recommendation model;

[0071] S3: Estimate the user's situation according to the AP classification model;

[0072] S4: For each scenario, use the ranking of video popularity in the scenario, and based on the post-filtering method, rearrange and filter the video recommendation list calculated by the above collaborative filtering model.

[0073] The specific process of training the collaborative filtering recommendation model in step S1 is as follows:

[0074] S111: According to the user's viewing record, the viewing ratio of the video is used as the use...

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PUM

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Abstract

The invention provides an online video recommendation method based on wireless access point situation classification and perception. The method comprises the following steps: through keyword extraction on SSID, finding out a keyword related to a user situation so as to determine the situation of part of AP; then by taking the AP with the determined situation as a seed, extracting characteristics of the AP through matrix decomposition; and gathering APs with similar situations together by virtue of a k-means clustering algorithm according to the characteristics. The method solves the problem of determination of the situation of the AP of the user. For every situation, by virtue of video popularity ranking in the situation, based on a post-filter method, a video recommendation list calculated by a collaborative filtering model is rearranged and filtered, so that the ranking of videos with larger view in the situation is higher, and therefore, a method of self-adaptively adjusting the video recommendation list according to the situation is realized, thereby providing a good personal video recommendation service for the user.

Description

technical field [0001] The present invention relates to the fields of recommendation systems and multimedia networks, and more specifically, to an online video recommendation method based on context classification and perception of wireless access points. Background technique [0002] The emergence and popularization of the Internet has brought a large amount of information to users, which has met the needs of users for information in the information age. Sometimes you can't get the part of information that is really useful to you, and the efficiency of using information is reduced. This is the so-called information overload problem. [0003] A very potential solution to the problem of information overload is the recommendation system, which is a personalized information recommendation system that recommends the information and products that the user is interested in to the user according to the user's information needs and interests. Compared with search engines, the recom...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/735
CPCG06F16/735
Inventor 吴迪张家铭
Owner SUN YAT SEN UNIV
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