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Information recommendation method, apparatus and device and medium

A technology for recommending information and recommending information, applied in the field of information processing, can solve problems such as the inability to use user click behavior, and achieve the effect of improving receiving efficiency and user experience

Active Publication Date: 2018-11-30
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Users cannot generate behavioral data such as clicks on the corresponding content
Therefore, it is impossible to use the user's click behavior to sort and optimize the broadcast content.

Method used

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  • Information recommendation method, apparatus and device and medium
  • Information recommendation method, apparatus and device and medium
  • Information recommendation method, apparatus and device and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] figure 1 It is a flow chart of an information recommendation method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation of recommending information of interest to a user based on a human-computer interaction dialogue. The method can be executed by an information recommendation device, and the device can be realized by software and / or hardware. Typically, the device does not have a touchscreen display. see figure 1 , an information recommendation method provided in this embodiment includes:

[0029] S110. Extract an entity concerned by the user from the human-computer interaction dialogue of the user.

[0030] Among them, entities are text fragments with basic semantic features in natural language. The text entered by the user, the content of the article, the title of the song, etc. can all be considered to be composed of entities.

[0031] The human-computer interaction dialog may be a dialog realized by key input. Ty...

Embodiment 2

[0060] figure 2 It is a flowchart of an information recommendation method provided in Embodiment 2 of the present invention. This embodiment is an optional solution proposed on the basis of the foregoing embodiments. see figure 2 , the information recommendation method provided in this embodiment includes:

[0061] S210. Extract the entity concerned by the user from the human-computer interaction dialogue of the user.

[0062] S220. Determine the entity to be disambiguated from the entities.

[0063] Among them, the entity to be disambiguated is an entity with ambiguity or homophony.

[0064] For example, an ambiguous apple entity could refer to an apple in fruit or a mobile phone brand. Homophone entities include rich and endowed.

[0065] S230. Determine the target entity of the entity to be disambiguated according to the similarity between the context of the entity to be disambiguated and the candidate entities in the knowledge base.

[0066] Among them, the contex...

Embodiment 3

[0076] image 3 It is a flow chart of an information recommendation method provided by Embodiment 3 of the present invention. This embodiment is an optional solution proposed on the basis of the foregoing embodiments. see image 3 , the information recommendation method provided in this embodiment includes:

[0077] S310. Extract the entity concerned by the user from the human-computer interaction dialogue of the user.

[0078] S320. Establish a user interest model for the user according to the entity that the user focuses on and the attributes of the entity.

[0079] S330. Determine information to be processed from a sequence including at least two pieces of information to be recommended.

[0080] S340. If the similarity between the information to be processed and the processed information is greater than the set similarity threshold, delete the information to be processed or arrange the information to be processed behind the sequence, and mark the information to be proce...

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Abstract

The embodiment of the invention discloses an information recommendation method, apparatus and device and a medium, and relates to an information processing technology. The method includes: extractingan entity that a user pays attention to from the user's human-computer interaction dialogue; establishing a user interest model for the user according to the entity that the user pays attention to andattributes of the entity; sorting to-be-recommended information according to the user interest model, and recommending the sorted to-be-recommended information to the user. According to the information recommendation method, apparatus and device and the medium, the sorting and tuning of the recommended content in a screenless environment are implemented.

Description

technical field [0001] Embodiments of the present invention relate to information processing technologies, and in particular, to an information recommendation method, device, device and medium. Background technique [0002] At present, there are more and more smart hardware devices equipped with voice dialogue interaction systems in the market. And many of such smart hardware devices are screenless and interact only through voice. And the scope of interactive content is becoming more and more diverse. [0003] At present, most news recommendation systems in the industry are based on an environment with a screen interface, judge user preferences based on the corresponding content clicked by the user based on the screen, and recommend interesting information to the user according to the user preference. [0004] However, in a screen-free environment, recommendations are delivered entirely by voice. Users cannot generate behavioral data such as clicks on the corresponding co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 纪友升王文敏徐威凌光周超
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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