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Mass information data recommendation method and recommendation device

A mass information and recommendation device technology, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve the problem of difficult expansion of recommendation devices

Active Publication Date: 2020-10-23
山东省科院易达信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a recommendation method that does not need to re-establish the massive information data of the recommendation engine during expansion, and solves the technical problem that the expansion of the recommendation device is relatively difficult in the related art

Method used

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  • Mass information data recommendation method and recommendation device
  • Mass information data recommendation method and recommendation device
  • Mass information data recommendation method and recommendation device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0090] Applied in the field of enterprise technology services, the big data service platform serves as an information and service platform that provides user technology, expert guidance, achievement transformation and government policies;

[0091] The application service unit 210 provides patent content, the application service unit 220 provides expert content, the application service unit 230 provides achievement content, and the application service unit 240 provides policy content;

[0092] For example, according to the attribute (type of content) of the patent content of the application service unit 210, a collaborative filtering engine based on a collaborative filtering algorithm and / or a rule engine based on an association rule are selected according to the attribute of the patent content.

[0093] Such a recommendation device can provide enterprise users with recommendations on patent content, expert content, achievement content and policy content, and assist enterprise u...

Embodiment 2

[0112] Applied in the field of commercial technology, the big data service platform serves as an information and service platform for providing commodities, advertisements, videos, and music;

[0113] The application service unit 210 provides commodity content, the application service unit 220 provides advertisement content, the application service unit 230 provides video content, and the application service unit 240 provides music content;

[0114] Or the application service unit 210 provides commodity content, the application service unit 220 provides advertisement content, the application service unit 230 provides video content and music content, and the application service unit 240 provides music content;

[0115] For example, according to the attribute (type of content) of the patent content of the application service unit 220, a collaborative filtering engine based on a collaborative filtering algorithm and / or a probability engine based on a graph model are selected accor...

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Abstract

The invention discloses a mass information data recommendation method, which comprises the following steps: according to the content attribute information of an application service unit and the attribute information of a recommendation engine, a service adaptation unit is provided for establishing a relationship between the application service unit and the recommendation engine; the service adaptation unit receives a recommendation request provided by the application service unit; the service adaptation unit provides a recommendation request to the recommendation engine; the recommendation engine provides recommendation information to the service adaptation unit, and the service adaptation unit provides the recommendation information to the application service unit; according to the invention, the application service unit for directly recommending the content is separated from the recommendation engine for generating the recommendation information, the original recommendation engine isstill used when new content is added through expansion, the expansion recommendation engine does not need to be developed again, and the expansion difficulty and workload of the recommendation deviceare reduced.

Description

technical field [0001] The present invention relates to a data recommending method, more specifically, it relates to a recommending method for multi-category mass information data. Background technique [0002] With the advent of the big data era, how to help users quickly obtain useful information from a large amount of information has become an important task for many businesses, and personalized recommendation systems have emerged as the times require. Based on massive data mining, personalized recommendation system guides users to discover their own information needs, and has been widely used in many fields. [0003] So far, the recommendation device includes a recommendation engine suitable for a recommended content. For a platform based on massive information data with multiple categories of recommended content, it is necessary to establish a corresponding recommendation engine based on the attributes of the recommended content. All categories cannot be realized throug...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9536G06Q30/06
CPCG06Q30/0631G06F16/9535G06F16/9536
Inventor 张伟徐志峰
Owner 山东省科院易达信息科技有限公司