Collaborative recommendation method with user context information aggregation

A technology of information aggregation and recommendation method, which is applied in the collaborative recommendation field of user context information aggregation, can solve the problems of reducing the accuracy rate of collaborative filtering algorithm and the error of similarity calculation process, and achieve the effect of reducing error and improving accuracy

Inactive Publication Date: 2017-01-11
SOUTH CHINA UNIV OF TECH
View PDF0 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the serious sparsity of user feedback on items, such as user historical purchase records, user hyperlink clicks on items, user subscriptions to items, etc., there is a large error in the user similarity calculation process, thus Reduced the accuracy of the collaborative filtering algorithm

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
  • Collaborative recommendation method with user context information aggregation
  • Collaborative recommendation method with user context information aggregation
  • Collaborative recommendation method with user context information aggregation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0037] A schematic diagram of a typical collaborative recommendation method for user context information aggregation, such as figure 1 shown.

[0038] S1: According to the user's behavior log on the item, classify the user's behavior on the item, and assign a numerical score to each behavior category as the user's rating on the item (the higher the score, the more interested in the item), and establish the user-item Scoring matrix, as shown in Table 1; user context information including user attributes and user behaviors is converted into quantitatively expressed user features, and a user-feature matrix is ​​established, as shown in Table 2.

[0039] Table 1 User-Item Rating Matrix

[0040]

[0041] Table 2 User-Feature Matrix

[0042]

[0043] S2: For the curre...

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 collaborative recommendation method with user context information aggregation. The method includes the steps that a user-goods rating matrix and a user-feature matrix are constructed according to a user behavior log and context information; the rating similarity and the feature similarity of users are calculated through a similarity calculation method; the aggregation similarity of the users is calculated according to the rating similarity and the feature similarity, and neighbor users are obtained through a personalized similarity aggregation calculation method; scores given by the users on all unrated goods are predicted according to scores given by the neighbor users on goods and the aggregation similarity, N pieces of goods with the highest predicted score are selected as a recommended candidate goods set for the users, and goods are selected from the candidate goods set to be recommended. By means of the method, the accuracy of personalized collaborative recommendation can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of personalized recommendation, and in particular relates to a collaborative recommendation method for aggregation of user context information. Background technique [0002] The recommendation system aims to alleviate information overload and improve the click-through rate and conversion rate of items. It has been widely used in advertising, e-commerce, telecommunications services, movies, videos, music, design networks, reading, location-based services and personalized services. and other fields. By analyzing a large number of user historical behavior logs, the recommendation system can provide personalized pages for different users in real time, greatly improving the user experience. [0003] Collaborative Filtering (Collaborative Filtering) algorithm is the earliest algorithm proposed in the field of recommendation system, which has been deeply researched and widely used in academia and industry. The us...

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
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/244G06F16/24575G06F16/35G06F16/9535G06Q30/0218
Inventor胡金龙梁俊杰
OwnerSOUTH CHINA UNIV OF TECH