Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Content recommendation method and device based on user favorites

A content recommendation and user technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve problems such as low ranking results, low recommendation efficiency, and inability to meet user access needs to the greatest extent, so as to enhance business experience , Improve the effect of recommendation efficiency

Active Publication Date: 2014-06-25
BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO LTD
View PDF4 Cites 137 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In the process of implementing the present invention, the inventor found that the existing implementation of personalized content recommendation based on user preferences is prone to low recommendation efficiency. The following specific examples are given to illustrate. For example, when a user accesses the Internet, What is recommended is the personalized recommendation information generated based on the user's preferences within the recorded time period, but the personalized recommendation information based on history cannot be most suitable for the user's current access needs. Personalized recommendation information based on history cannot be displayed in the pop-up window due to the low ranking results of product information; Keywords are not displayed in the pop-up window
In this way, the recommendation efficiency of the personalized information recommended to the user is low, thereby affecting the service experience of the user

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Content recommendation method and device based on user favorites
  • Content recommendation method and device based on user favorites
  • Content recommendation method and device based on user favorites

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Embodiment 1. A method for recommending content based on user preferences.

[0029] figure 1 It is a schematic flowchart of a method for recommending content based on user preference provided by an embodiment of the present invention. see figure 1 , the process includes:

[0030] Step 101, collecting any user's behavior data, extracting feature words from the collected user behavior data, matching the extracted feature words with the preset category entity thesaurus, and constructing the category corresponding to the user's behavior data and / or a favorite topic library composed of entity words, and the category entity thesaurus stores preset categories and entity words;

[0031] In this step, the category refers to a description capable of expressing a detailed field, for example, travel, Internet, NBA, and the like. Entity words refer to vocabulary that can express a certain concept or content within a category, wherein entity words are usually nouns, and a categor...

Embodiment 2

[0148] Embodiment 2: An apparatus for recommending content based on user preferences.

[0149] figure 2 It is a schematic structural diagram of a content recommendation device based on user preferences provided by an embodiment of the present invention. see figure 2 , the device includes: a favorite topic library construction module, a sorting module, a recommended content generation module, a recommended content adjustment module and a recommended content display module, wherein,

[0150] The favorite topic library construction module is used to collect user behavior data, extract feature words from the collected user behavior data, match the extracted feature words with the preset category entity thesaurus, and construct the user's behavior data. A favorite topic library composed of corresponding categories and / or entity words, and preset categories and entity words are stored in the category entity thesaurus;

[0151] In the embodiment of the present invention, the use...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a content recommendation method and device based on user favorites. The method mainly includes the steps that feature word extraction is performed according to collected behavior data of all users, and extracted feature words are respectively matched with preset categories and / or entity word banks to construct a favorite topic library of the categories and / or entity words corresponding to the behavior data of the users; according to multi-dimension attribute information corresponding to the behavior data of the users, the categories and / or the entity words in the favorite topic library of the users are sequenced; before recommended content are displayed for the users, a preset recommended content library is searched for, and sequenced recommended content which are matched with the sequenced categories and / or the entity words in the favorite topic sequencing library are extracted in advance; when the users give access requests, current access network scenes of the users are extracted, and the sequenced recommended content matched with the current access scenes of the users are extracted to be displayed. According to the technical scheme, recommending efficiency can be further improved.

Description

[0001] Technology category [0002] The invention relates to network access technology, in particular to a method for recommending content based on user preference and a corresponding device for recommending content based on user preference. Background technique [0003] With the development of the Internet, the number of users using the Internet has increased rapidly, and the number of Internet websites that provide content services to users is also increasing. In order to better operate Internet websites and serve Internet website users, personalized information based on user preferences (Content) recommendation technology came into being. Specifically, Internet website operators analyze and count a large number of user access behavior data on Internet websites, so as to obtain information on users’ preferences in accessing Internet websites, and based on the information on users’ preferences in accessing Internet websites, when users visit Internet websites , to provide or...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/337G06F16/9535
Inventor 李达郭奇
Owner BEIJING SOGOU TECHNOLOGY DEVELOPMENT CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com