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Article recommendation method and system based on user intention in session

A technology of user intentions and recommendation methods, applied in neural learning methods, data processing applications, biological neural network models, etc., can solve the problem of low accuracy and achieve the effect of improving accuracy

Active Publication Date: 2020-08-25
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0004] In view of this, the present invention provides a method and system for item recommendation based on user intentions in a session to solve the existing problem of low accuracy of item recommendation based on collaborative information of neighbor sessions

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  • Article recommendation method and system based on user intention in session
  • Article recommendation method and system based on user intention in session
  • Article recommendation method and system based on user intention in session

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Embodiment Construction

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with 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 produced by persons of ordinary skill in the art without creative work fall within the protection scope of the present invention. In addition, it should be noted that "the..." in the content of the specific embodiment only refers to the technical attributes or characteristics of the present invention. In addition, it should be noted that, in this application, the conventional body and italics of the same mark represent the same parameter, for example, the conventional body S t and its italic S t Both represent the current session.

[0043] The main purpose of item recommendation based on session c...

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Abstract

The present invention provides an article recommendation method and system based on user intent in a session by encoding a current session with articles of a previous timing and a last article, thereby generating an accurate session representation, and then using it to perform initial article prediction as user intent. Afterwards, we design an intentionally directed neighbor detector to locate a correct neighbor session. Finally, the representation of the current session and the representation of the neighbor session are combined through a gating fusion layer, final article recommendation is generated, and the accuracy of article recommendation is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of content recommendation, and in particular relates to a method and system for item recommendation based on user intentions in a session. Background technique [0002] The existing item recommendation based on session content mainly refers to generating item recommendation based on anonymous user session. In order to improve the accuracy of anonymous session-based item recommendation, researchers have utilized collaborative information from the current session's neighbor sessions for the item recommendation. [0003] However, in the prior art, researchers usually directly select some sessions that are relatively close to the current session as neighbor candidate sessions, and they all consider the user intention in the session, and only use cosine similarity to collect and identify neighbor sessions , so the most relevant neighbors cannot be identified to obtain an effective neighbor representation, which ...

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Application Information

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IPC IPC(8): G06F16/9535G06Q30/06G06Q30/02
CPCG06F16/9535G06Q30/0631G06Q30/0202G06Q30/0201G06N3/08G06N3/044G06N20/00
Inventor 蔡飞陈皖玉潘志强王祎童宋城宇凌艳香张鑫陈洪辉
Owner NAT UNIV OF DEFENSE TECH
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