Distribution method, device and readable storage medium of recommendation system
A recommendation system and recommendation algorithm technology, applied in the computer field, can solve problems such as the inability to meet the algorithm usage requirements of the recommendation system
Active Publication Date: 2021-01-26
NETEASE (HANGZHOU) NETWORK CO LTD
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[0005] Aiming at the above-mentioned problem that the distribution method of the existing recommendation system cannot meet the requirements for adjusting the algorithm of the recommendation system, the present invention provides a distribution method, device and readable storage medium of the recommendation system
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[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention.
[0048] With the development of society, manpower operations have gradually been unable to match the individual needs of different users under the huge number of users. The recommendation system using machine learning has gradually become a development trend and research focus.
[0049] In order to obtain the most optimized recommendation system based on machine learning, it is necessary to continuously adjust the algorithm of the recommendation system according to the user's feedback during debugging. During the adjustment process, the adjusted algorithm and the unadjusted algorithm are generally used to compare various test indicators, so as to make adjustmen...
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The distribution method, device and readable storage medium of the recommendation system provided by the present invention map the user identification in the distribution request of the received user to a digital identification composed of a digital string according to a preset mapping algorithm; Divide the digital characters in the digital string into groups to obtain the multi-group shunt factor corresponding to the user's digital ID; according to each group shunt factor and the shunt factor corresponding to each tree node in the preset multi-layer shunt tree scope, determine the user’s distribution path in the multi-layer distribution tree; send the user’s distribution request to the corresponding tree node in the multi-layer distribution tree for processing according to the distribution path, thereby realizing the user’s Splitting, so that the same user will adopt the same splitting strategy, effectively meeting the needs for adjusting the algorithm of the recommendation system.
Description
technical field [0001] The present invention relates to computer technology, in particular to a recommendation system distribution method, device and readable storage medium. Background technique [0002] With the development of society, the recommendation system that relies on human operation has gradually been unable to match the individual needs of different users under the huge number of users. The recommendation system using machine learning has gradually become a development trend and research focus. [0003] In order to obtain the most optimized recommendation system based on machine learning, it is necessary to continuously adjust the algorithm of the recommendation system according to the user's feedback during debugging. During the adjustment process, the adjusted algorithm and the unadjusted algorithm are generally used to compare various test indicators, so as to make adjustments according to the comparison results. In the current shunting method of the recomme...
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IPC IPC(8): G06N20/00
Inventor 何仲杨李健宇
Owner NETEASE (HANGZHOU) NETWORK CO LTD