Post recommendation method and device based on attention mechanism
A recommendation method and attention technology, applied in the direction based on specific mathematical models, manufacturing computing systems, computer components, etc., can solve the problem of low matching between recommended positions and personnel, and achieve the effect of high matching and accurate positions
Active Publication Date: 2022-03-11
PEKING UNIV
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[0004] The above method has problems such as the low degree of conformity between the recommended positions and personnel
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[0044] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0045] It should be noted that, in the description of the embodiments of the present invention, the terms "comprising", "comprising" or any other variant thereof are intended to cover a non-exclusive inclusion, so that a process, method, article or device comprising a series of elements Not only those elements are included, but also other elements not expressly listed or inherent in such proc...
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The invention provides a post recommendation method and device based on an attention mechanism. The method comprises the following steps: determining a target job sequence of a target individual; inputting the target job sequence into a post prediction model, and obtaining the job probability of the target individual at each preset post output by the post prediction model; determining a recommended post of the target individual in all preset posts according to all the job probabilities; the post prediction model is constructed based on an attention mechanism; the post prediction model is obtained based on the sample job sequence and sample prediction post training corresponding to the sample job sequence. According to the post recommendation method and device based on the attention mechanism provided by the invention, the post prediction model with the attention mechanism is utilized to predict the probability that the target individual works at each preset post next time according to the job sequence of the target individual, so that the predicted post is more accurate, and the conformity with personnel is higher.
Description
technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a post recommendation method and device based on an attention mechanism. Background technique [0002] Most of the existing cadre management systems only have simple functions such as database storage and rule query. [0003] With the development of recommendation system technology, job recommendation is one of the most important application directions of recommendation system. The existing multi-agent-based personalized job recommendation system can obtain the user's job-seeking intention based on the roulette model, use the feedback user space vector model and combine the domain ontology knowledge base to model the user and job resources, and finally apply the improved based on Recommendations are made using an algorithm that combines domain knowledge content recommendation and collaborative filtering recommendation. [0004] The above method has probl...
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IPC IPC(8): G06Q10/10G06Q10/04G06Q10/06G06F16/9535G06K9/62G06N7/00
CPCG06Q10/105G06Q10/04G06Q10/06393G06F16/9535G06N7/01G06F18/214Y02P90/30
Inventor 刘学洋胡文蕙张津婵邵文宇
Owner PEKING UNIV