Service object recommendation method and device and electronic equipment
A technology of business objects and recommendation methods, which is applied in the field of information processing, can solve problems such as waste of network resources, and achieve the effect of improving utilization rate and high display effect
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Embodiment 1
[0033] figure 1 It is a flow chart showing a business object recommendation method according to Embodiment 1 of the present invention. The method is executed by a device including a business object recommending device, such as a background server of a live broadcast platform.
[0034] refer to figure 1 , in step S110, acquire the anchor attribute data, viewer attribute data and multiple business object attribute data of the live broadcast room.
[0035] Wherein, the anchor may be the anchor of the live broadcast video currently played, and the anchor performs real-time live video broadcast in the live broadcast room. Correspondingly, the audience corresponding to the anchor may be a group of fans watching the anchor.
[0036] The anchor attribute data is used to indicate the characteristics of the anchor, and the anchor attribute data may include the anchor's gender, age, behavior characteristics, and so on. The audience attribute data is used to indicate the characteristi...
Embodiment 2
[0043] The business object recommendation method in this embodiment can be regarded as an optional implementation manner of the first embodiment above.
[0044] refer again figure 1 , in step S110, acquire the anchor attribute data, viewer attribute data and multiple business object attribute data of the live broadcast room.
[0045] In live video, the anchor itself has many characteristics. For example, the host's gender, age, appearance, behavioral characteristics, etc. These characteristics can be regarded as anchor attributes. Thus, the anchor attribute data may include at least one of the following: basic attributes, physical characteristics, purchase types, behavioral characteristics, psychological characteristics, real-time status characteristics and commercial attributes, but not limited thereto. Among them, the basic attributes can include gender, age, permanent residence, occupation, education level, etc.; Brand preferences, etc. Behavioral characteristics can in...
Embodiment 3
[0071] figure 2 Shown is a flow chart of a method for recommending a business object according to Embodiment 3 of the present invention. available in as image 3 or execute the method on the service object recommendation device shown in 4.
[0072] refer to figure 2 , in step S210, acquire the attribute data of the video anchor, the attribute data of the audience corresponding to the video anchor, and the attribute data of multiple business objects.
[0073] Here, the user attribute data may include a user attribute feature vector representing comprehensive attributes of the video host and viewers, and the business object attribute data may include a business object attribute feature vector.
[0074] Wherein, the step content of the above step S210 is the same as the step content of the step S110 in the above embodiment 1 (or embodiment 2), and will not be repeated here.
[0075]In step S220, based on the attribute data of the video anchor and the attribute data of the a...
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