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A tag-based method and system for recommending related content

A technology for relevant content and content recommendation, applied in unstructured text data retrieval, instrumentation, computing, etc., can solve problems such as irrelevant noise, large amounts of content, and inability to provide accurate recommendations for users

Active Publication Date: 2020-05-08
DATAGRAND TECH INC
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Problems solved by technology

[0003] like figure 1 Shown is an example of related content recommendation in the prior art. The text information corresponding to a content may include: title, user tag, description, channel classification, release time, etc. The disadvantage is that these texts contain a large number of irrelevant content Noise, unable to make more accurate recommendations to users

Method used

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  • A tag-based method and system for recommending related content
  • A tag-based method and system for recommending related content
  • A tag-based method and system for recommending related content

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Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0035] Please refer to figure 2 It is a schematic structural diagram of the tag-based related content recommendation system of the present invention.

[0036] A tag-based related content recommendation system 100 in this embodiment includes: a data import module 1, an automatic tag extraction module 2, an inverted index module 3, and a recommendation result generation module 4,

[0037] The data import module 1 is used to obtain full content data and new content data, and import them into the database respectively, and the new content data includes at least: a click content data table and an incremental content data table; as in this embodiment Preferably, the incremental content data table is used to update new content...

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Abstract

The invention discloses a tag-based related content recommendation method and system. The system comprises a data importing module, an automatic tag extraction module, a reverse indexing module and a recommendation result generation module. Through the data importing module and the automatic tag extraction module, more related content lists can be obtained, and automatic tags can be extracted from content-related texts, so that content-unrelated noises can be eliminated. According to the system, the quantity of contents in a content website can reach ten millions and even hundred millions, and for improving the recommendation efficiency, all the contents are reversely indexed according to the automatic tags in the reverse indexing module by utilizing an information retrieval technology, so that the recommendation efficiency is improved. By adopting the method provided by the invention, the more related content lists and the related content recommendation with higher recommendation efficiency can be obtained.

Description

technical field [0001] The present invention relates to the field of content recommendation, in particular to a tag-based related content recommendation method and system. Background technique [0002] With the continuous expansion of Internet content and the rapid growth of the number and types of content, it is becoming more and more difficult for users to find interesting content from a large amount of irrelevant information. Relevant content recommendation actively shows users some content related to the current viewing content without the need for users to specify query conditions explicitly, so it can make it easier for users to discover content, improve user experience, and enhance website stickiness. Specifically, relevant content recommendation refers to: the system uses computer algorithms to perform content mining and semantic analysis on the content of Internet content sites, and automatically generates a content list related to the content for each content. [...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/31G06F16/335
CPCG06F16/319G06F16/337
Inventor 陈运文张健桂洪冠纪达麒
Owner DATAGRAND TECH INC
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