Evaluation factor weight determination method and device
A technology for evaluating factors and determining methods, applied in special data processing applications, instruments, electrical and digital data processing, etc., and can solve the problems of low accuracy of weight values of evaluation factors and high subjectivity of empirical values.
Pending Publication Date: 2019-10-08
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology
[0006] For this reason, the present invention proposes a method for determining the weight of an evaluation factor, by adjusting the weight value of an evaluation factor to different candidate values, and weighting multiple evaluation factors to obtain the evaluation value of the evaluation object, and according to the evaluation value. Recommend, and monitor user behavior after recommendation, determine the weight value of the evaluation factor from each candidate value according to user behavior, realize the automatic determination of the weight value of the evaluation factor, and solve the need for the weight value of the evaluation factor in the prior art Manually determined by experience value, due to the subjectivity of experience value, the accuracy of the weight value of the evaluation factor is low
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[0033] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.
[0034] The method and device for determining the weight of evaluation factors in the embodiments of the present invention will be described below with reference to the accompanying drawings.
[0035] figure 1 It is a schematic flowchart of a method for determining the weight of an evaluation factor provided by an embodiment of the present invention.
[0036] Such as figure 1 As shown, the method includes the following steps:
[0037] Step 101, acquiring weight values of multiple evaluation factors.
[0038] Specifically, we...
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The invention provides an evaluation factor weight determination method and devic. The method comprises the following steps of: obtaining weight values of the plurality of evaluation factors, adjusting the weight value of one evaluation factor in the plurality of evaluation factors into different candidate values in each round of adjustment process; carrying out weighted calculation on the plurality of evaluation factors to obtain an evaluation value of the evaluation object; performing recommendation according to evaluation values, monitoring user behaviors after recommendation; determining aweight value of an evaluation factor from the candidate values according to the user behavior. According to the technical scheme, the multi-round weight adjustment process is repeatedly executed to determine the weight values of the multiple evaluation factors, automatic determination of the weight values of the evaluation factors is achieved, and the problem that in the prior art, the weight values of the evaluation factors need to be manually determined through empirical values, and due to the fact that the subjectivity of the empirical values is large, the accuracy of the weight values ofthe evaluation factors is low is solved.
Description
technical field [0001] The present invention relates to the technical field of mobile terminals, in particular to a method and device for determining the weight of evaluation factors. Background technique [0002] In the live broadcast business, the traffic exposure of the recommendation page has a decisive impact on the anchor’s income. In the live broadcast business scenario, the number of anchors who broadcast at the same time during the peak period exceeds 10,000, and an average user watches about 20 anchors. Therefore, a A good recommendation algorithm will make personalized recommendations based on the user's interests, but for new users, since there is no user's historical interest information, the general practice when recommending anchors to new users is to recommend popular anchors to new users, which involves How to sort many anchors to determine the hot ones. [0003] When sorting the anchors, many evaluation factors need to be considered, and each evaluation fa...
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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 刘雪飘
Owner TENCENT TECH (SHENZHEN) CO LTD