Method and device for information recommendation based on conversation interaction, server, and storage medium

A technology for information recommendation and interactive content, applied in devices, information recommendation methods based on dialogue interaction, servers and storage media, can solve problems affecting user experience, recommendation accuracy is not very good, and it is not conducive to improving user usage time and stickiness, etc. problems, to achieve accurate construction and control, increase duration and stickiness, and improve user experience

Active Publication Date: 2018-03-23
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are certain problems in these two types of information recommendation methods. The first type of user model is obtained through indirect user behavior mining, so the accuracy of the recommendation is not very good. In addition, the user model is usually implicit, and the user cannot actively set or directly Modifications lead to the failure to add new interest tags of users in time, and the failure to delete outdated or wrong interest tags in time, which affects user experience; the second type requires users to actively initiate attention, and it is difficult to tap users' potential (unfollowed) interests, which is not conducive to Improve user usage time and stickiness

Method used

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  • Method and device for information recommendation based on conversation interaction, server, and storage medium
  • Method and device for information recommendation based on conversation interaction, server, and storage medium
  • Method and device for information recommendation based on conversation interaction, server, and storage medium

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Embodiment 1

[0029] figure 1 This is a flow chart of the method for recommending information based on dialogue interaction in the first embodiment of the present invention. This embodiment is applicable to the situation of information recommendation. The method can be executed by the method for recommending information based on dialogue interaction. The device can adopt software and / Or hardware implementation, for example, the device can be configured in a server. Such as figure 1 As shown, the method may specifically include:

[0030] Step 110: Generate reading topic inquiry information according to the user behavior characteristics and / or user model of the historical reading interface. The user model includes at least one of the following: user interest, user concerned topic, and user concerned author.

[0031] In this embodiment, the user behavior characteristics of the historical reading interface are the behavior habits and rules of the user access interface obtained through statistical a...

Embodiment 2

[0046] figure 2 A flowchart of a method for recommending information based on dialogue interaction in the second embodiment of the present invention. On the basis of the foregoing embodiment, this embodiment further optimizes the foregoing information recommendation method based on dialogue interaction. Correspondingly, such as figure 2 As shown, the method of this embodiment specifically includes:

[0047] Step 211: Determine the current scene type in which the user is located according to the user behavior characteristics and / or user model of the historical reading interface.

[0048] In this embodiment, the scene type includes the current time and state of the user, and the scene type can be set according to needs. According to the user behavior characteristics and / or user model of the historical reading interface, the specific scene type of the user can be determined. For example, the current time is 8 o'clock in the morning, and according to this time, it can be determined...

Embodiment 3

[0068] Figure 5 It is a schematic structural diagram of an information recommendation apparatus based on dialogue interaction in Embodiment 3 of the present invention. Such as Figure 5 As shown, the device may include:

[0069] The inquiry information acquisition module 310 is configured to generate reading topic inquiry information based on user behavior characteristics and / or user models of the historical reading interface, and the user model includes at least one of the following: user interests, user attention topics, and user attention authors ;

[0070] The dialogue interaction module 320 is used to conduct dialogue interaction with the user according to the generated reading topic inquiry information;

[0071] The reading theme module 330 is used to determine the user's reading theme according to the interactive content of the dialogue;

[0072] The pushing module 340 is configured to push the information matching the reading theme to the user.

[0073] Exemplarily, the inqui...

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Abstract

Embodiments of the invention disclose a method and a device for information recommendation based on conversation interaction, a server, and a storage medium. The method comprises: according to user behavior characteristics on historical reading interfaces and/or a user model, generating a reading theme inquiry message, the user model including at least one of the followings: user interest, user concerned topics, and user concerned authors; according to the generated reading theme inquiry message, performing conversation interaction with a user; according to contents of the conversation interaction, determining a reading theme of the user; and pushing information matched with the reading theme to the user. The method connects different topic information streams through natural language understanding and artificial intelligence technologies based on conversation interaction, to help users to explore potential interest and improve user duration and viscidity. A user model is established more accurately and controlled, so as to improve user experience.

Description

Technical field [0001] The embodiments of the present invention relate to the technical field of information interaction, and in particular to an information recommendation method, device, server, and storage medium based on dialogue interaction. Background technique [0002] With the development of science and technology and the continuous increase of Internet information, users have higher and higher requirements for Internet recommendation information. [0003] At present, mobile Internet information recommendation methods are mainly divided into two categories. One is to build user models through user behavior mining interested tags to make recommendations, and the other is to make recommendations through users actively following interested people or topics. Both types of information recommendation methods have certain problems. The first type of user model is obtained through indirect user behavior mining, so the accuracy of recommendation is not very good. In addition, the us...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27H04L29/08
CPCG06F16/90332G06F16/951G06F40/30H04L67/55
Inventor 戴岱田浩李大任高原黄波乔超
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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