Session-based project recommendation method, device and apparatus and storage medium

A project recommendation and project technology, applied in the field of project recommendation, can solve the problem of ignoring the complex conversion of the session sequence, and achieve the effect of accurate recommendation

Active Publication Date: 2019-08-13
SUZHOU UNIV
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However, these existing methods usually model unidirectional transitions between con

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  • Session-based project recommendation method, device and apparatus and storage medium
  • Session-based project recommendation method, device and apparatus and storage medium
  • Session-based project recommendation method, device and apparatus and storage medium

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[0053] 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 creative efforts fall within the protection scope of the present invention.

[0054] Currently, a new sequential model, Transformer, achieves state-of-the-art performance and efficiency in various translation tasks. Instead of using recursive or convolutional operations, Transformer utilizes an encoder-decoder structure consisting of stacked self-attention networks to map the global dependencies between inputs and outputs. Self-attention, as a special attention mechanism, has been widely used to model sequence data and achieved remarkable re...

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Abstract

The invention discloses a session-based project recommendation method, device and apparatus and a computer readable storage medium. In the scheme of the invention, the method comprises the following steps of: constructing a directed session structure diagram through a historical session sequence of a user; based on the session structure diagram, enabling a graph neural network to capture conversion between adjacent projects; generating implicit state vectors of all nodes in the graph; establishing long-distance dependence by using a self-attention mechanism, and finally predicting the probability of next click by taking the linear combination of the global preference and the current local preference of a user as the hidden vector of a current session. The method utilizes the complementaryadvantages of the self-attention network and a graph neural network to realize the accurate recommendation of a project.

Description

technical field [0001] The present invention relates to the technical field of item recommendation, and more specifically, relates to a session-based item recommendation method, device, equipment, and computer-readable storage medium. Background technique [0002] With the continuous development of mobile Internet technology, the amount of information on the network is rapidly expanding and increasing exponentially, and the problems of information overload and information wandering on the network are becoming more and more serious. In order to provide users with satisfactory information and services, recommender systems emerged as the times require, and have become a research field that many researchers pay attention to. Many existing recommendation systems are based on the user's historical interaction records. However, in many application scenarios, the user's identity is unknown. In an ongoing session, there are only the user's historical records. To solve this problem, ...

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Application Information

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IPC IPC(8): G06F16/951G06F16/9535
CPCG06F16/951G06F16/9535
Inventor 赵朋朋徐程凤周晓方崔志明
Owner SUZHOU UNIV
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