Recommendation method, device and system
A recommendation method and recommendation request technology, applied in the Internet field, can solve problems such as unavailability, instability, and jitter of personalized recommendation platforms.
Pending Publication Date: 2020-04-10
BEIJING QIYI CENTURY SCI & TECH CO LTD
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Problems solved by technology
[0003] However, when a large number of clients suddenly send a large number of recommendation requests to the personalized recommendation platform, the personalized recommendation platform will be in an unstable state of jitter or unavailability
When the personalized recommendation platform is in an unstable state, if the client continues to send recommendation requests to the personalized recommendation platform concurrently, the personalized recommendation platform will refuse to respond and will not return any recommended content to the client. Cases where the personalization platform crashes, reducing the performance of the personalization platform
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[0045]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0046] In order to improve the performance of the personalized recommendation platform, embodiments of the present invention provide a recommendation method, device and system, which will be described in detail below.
[0047] The recommendation method provided by the embodiment of the present invention is realized by a recommendation system, which may include a monitoring system, a personalized recommendation platform and a general data recommendation platform....
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The embodiment of the invention provides a recommendation method, device and system, and the method comprises the steps: obtaining the response performance parameters of a personalized recommendationplatform for a received recommendation request, and enabling the personalized recommendation platform to store the personalized recommendation data exclusive to all users; if the response performanceparameter is within the first preset range, reducing the number of recommendation requests sent to the personalized recommendation platform, and sending the reduced recommendation requests to a general data recommendation platform, the general data recommendation platform storing general recommendation data shared by each user. If the response performance parameter of the personalized recommendation platform is within the first preset range, performing recommendation, the personalized recommendation platform is insufficient to respond to all recommendation requests; by reducing the recommendation requests sent to the personalized recommendation platform and sending the reduced recommendation requests to the general data recommendation platform, the general data recommendation platform canrespond to the reduced recommendation requests; meanwhile, the situation that the personalized recommendation platform crashes is avoided, so the performance of the personalized recommendation platform is improved.
Description
technical field [0001] The present invention relates to the technical field of the Internet, in particular to a recommendation method, device and system. Background technique [0002] With the diversified development of the Internet, users can learn all kinds of information through websites or APPs (Applications, application programs), and now most websites or APPs have personalized recommendation functions. When users want to use When using the personalized recommendation function, the client can send a recommendation request to the personalized recommendation platform corresponding to the personalized recommendation function, and the personalized recommendation platform can return content that the user may be interested in to the client according to the user's browsing records. [0003] However, when a large number of clients suddenly send a large number of recommendation requests to the personalized recommendation platform, the personalized recommendation platform will be...
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IPC IPC(8): G06F16/9535G06F16/958
CPCG06F16/9535G06F16/958
Inventor方学阳
OwnerBEIJING QIYI CENTURY SCI & TECH CO LTD