Method and device for determining order of recommended information
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A technology for recommending information and determining methods, applied in the field of big data, can solve problems such as sacrificing relevance and poor user experience
Active Publication Date: 2021-10-15
武汉斗鱼鱼乐网络科技有限公司
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However, this will lead to a lot of sacrifice of relevance, and the top-ranked recommendation information may be information that users are not interested in, resulting in poor user experience.
Method used
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Embodiment 1
[0029] figure 1 It is a schematicflowchart of a method for determining the order of recommended information provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of sorting recommended information in the platform, and the method can be executed by a device for sorting recommended information , the device may be implemented in the form of software and / or hardware, and the hardware may be an electronic device. Optionally, the electronic device may be a mobile terminal, a PC terminal, and the like.
[0030] Such as figure 1 As described, the method of this embodiment specifically includes the following steps:
[0031] S110. Acquire at least two candidate recommendation information of the target user, and initialize a selected recommendation information set and an unselected recommendation information set based on the at least two candidate recommendation information.
[0032] Wherein, the target user may be a user registered on the p...
Embodiment 2
[0049] figure 2 It is a schematicflowchart of a method for determining the order of recommended information provided by Embodiment 2 of the present invention. On the basis of the above-mentioned embodiments, this embodiment can refer to the method for determining the information similarity and the overall evaluation value. The technical scheme of embodiment. Wherein, explanations of terms that are the same as or corresponding to the above embodiments are not repeated here.
[0050] Such as figure 2 As described, the method of this embodiment specifically includes the following steps:
[0051] S210. Acquire at least two candidate recommendation information of the target user, and initialize a selected recommendation information set and an unselected recommendation information set based on the at least two candidate recommendation information.
[0052] S220. Determine the first similarity between the target user and each candidate recommendation information in the unselect...
Embodiment 3
[0105] Figure 4 It is a structural schematic diagram of an apparatus for determining the order of recommended information provided by Embodiment 3 of the present invention. The apparatus includes: an initialization module 310 , an overall evaluation value determination module 320 , a set update module 330 and a recommendation order determination module 340 .
[0106] Wherein, the initialization module 310 is configured to obtain at least two candidate recommendation information of the target user, and initialize a selected recommendation information set and an unselected recommendation information set based on the at least two candidate recommendation information, wherein the selected recommendation information set It is used to store candidate recommendation information whose recommendation sequence has been determined, and the unselected recommendation information set is used to store candidate recommendation information to be determined recommendation sequence; the overall ...
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Abstract
The embodiment of the present invention discloses a method and device for determining the order of recommended information, the method comprising: acquiring at least two candidate recommended information of a target user, and initializing a set of selected recommended information and unselected recommended information based on the at least two candidate recommended information Set; calculate the information similarity according to the target user, each candidate recommendation information in the selected recommendation information set and each candidate recommendation information in the unselected recommendation information set, and determine each candidate recommendation information in the unselected recommendation information set based on the information similarity The overall evaluation value of the overall evaluation value; the candidate recommendation information with the largest overall evaluation value in the unselected recommendation information set is used as the recommendation information to be selected, the recommendation information to be selected is added to the selected recommendation information set, and the candidate recommendation information to be selected in the unselected recommendation information set is recommended Information deletion; the order in which each candidate recommendation information is added to the selected recommendation information set is used as the recommendation order of each candidate recommendation information, so as to accurately sort the recommendation information.
Description
technical field [0001] The embodiments of the present invention relate to the technical field of big data, and in particular to a method and device for determining the order of recommended information. Background technique [0002] On the platform, information can be recommended to users for browsing. Usually, some information that is the same as or related to the information browsed by the user is recommended, but this will lead to poor novelty of the recommended information. [0003] In order to improve the novelty of recommended information, in the prior art, operation rules are used to eliminate popular information and user historical browsing information to increase the exposure of other recommended information, so as to increase the novelty of recommended information. And, after the recommendation information is determined, the order of the recommendation information is related to the novelty. However, this will lead to a lot of sacrifice of relevance, and the top-ra...
Claims
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