Object recommendation method and device, equipment and storage medium
A recommendation method and object technology, applied in the computer field, can solve problems such as poor system recommendation effect, and achieve the effect of optimizing the recommendation effect.
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Embodiment 1
[0085] figure 1 It is a schematic flowchart of an object recommendation method provided in Embodiment 1 of the present invention. This method can be applied to the scene of screening and recommending any object. The object is an object whose characteristics can be characterized by information of various dimensions, such as food, scenic spots, items and other commodities. Therefore, this embodiment of the application can be applied to any The technique automatically completes the scene for object recommendation. The method can be executed by an object recommendation device, which can be composed of hardware and / or software, and can generally be integrated into an electronic device with computing capability.
[0086] Such as figure 1 As shown, the method specifically includes the following steps:
[0087] S110. Obtain an initial object set and historical behavior data of the target user; wherein, the initial object set includes multiple candidate objects.
[0088] In this em...
Embodiment 2
[0099] figure 2 It is a schematic flowchart of an object recommendation method provided in Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above-mentioned embodiments, and provides an optimal object recommendation method. Specifically, according to the historical behavior data of the target user and based on a collaborative filtering algorithm, the target user corresponding to the target user will be screened out from the initial object set. At least two target objects, which are further optimized to include: characterize the historical behavior data of target users, construct user feature vectors and object feature vectors; input user feature vectors and initial object sets into collaborative filtering based on users model, output the first screening result corresponding to the target user; input the object feature vector and the initial object set into the collaborative filtering model based on objects, and output the second screening...
Embodiment 3
[0152] image 3 It is a schematic structural diagram of an object recommendation device provided in Embodiment 3 of the present invention. refer to image 3 , the object recommendation apparatus includes: a data acquisition module 310, an object screening module 320, and a recommendation processing module 330, each module will be described in detail below.
[0153] A data acquisition module 310, configured to acquire an initial object set and historical behavior data of target users; wherein, the initial object set includes multiple candidate objects;
[0154] The object screening module 320 is configured to screen out at least two target objects corresponding to the target user from the initial object set according to the historical behavior data of the target user and based on a collaborative filtering algorithm;
[0155] The recommendation processing module 330 is configured to recommend the target object to the target user based on the third-party influence factors corre...
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