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Information recommendation method and device

A technology for recommending methods and information, applied in semantic analysis, instrumentation, electronic digital data processing, etc., can solve problems such as inappropriate mining of event affiliation

Pending Publication Date: 2020-07-10
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the above schemes for mining causality are not suitable for mining affiliation between events

Method used

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  • Information recommendation method and device
  • Information recommendation method and device

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Embodiment Construction

[0050] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0051] Academically, an event is an objective fact of the interaction of specific people, things, and things at a specific time and a specific place, and the occurrence of an event has the characteristics of objectivity and authenticity. The event graph is a part of the knowledge graph, which uses events as nodes and the relationship between events as edges. Using t...

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Abstract

The embodiment of the invention discloses an information recommendation method and device, and relates to the field of artificial intelligence. According to the specific implementation scheme, the method comprises the steps: enabling a server to use sample information to train a classification model in advance, employing the classification model for mining affiliation between events in an event database to obtain an event graph, and storing the affiliation, wherein nodes in the event graph are the events, and if edges exist between the events, it shows that the two events are affiliation; after a recommendation request sent by a user through the terminal equipment is received each time, determining a first event in which the user is interested according to historical browsing records and the like of the user, determining a second event which is a subordinate event with the first event on the basis of the first event and the event map, and sending target information containing the second event to the terminal equipment. By the adoption of the scheme, whether the two events are subordinate events or not is determined through the classification model trained through the characteristics of the events, the purpose of mining the subordinate relationship between the events is achieved, and then accurate recommendation is achieved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of artificial intelligence, and in particular to an information recommendation method and device. Background technique [0002] With the rapid development of mobile Internet technology, major news and information application programs (Application, APP) are also developing rapidly. How to make accurate recommendations to users has become a concern of major APPs. [0003] Usually, one piece of news information mainly reports one event, and a popular event usually has more than one piece of news information, and news information about the same event can be clustered to obtain an information cluster event. Different events are not isolated, but there is a certain relationship. Relationships between events include coreference, affiliation, timing, and causality. If several events have the same subject, they are subordinate events because they belong to the same subject. For example...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/36G06F16/35G06F16/335G06F16/9535G06F40/295G06F40/30
CPCG06F16/3344G06F16/367G06F16/35G06F16/335G06F16/9535
Inventor 韩翠云陈玉光黄佳艳李法远刘远圳潘禄
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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