Unlock instant, AI-driven research and patent intelligence for your innovation.

A Location-Based Recommendation Method and Recommendation System

A technology of geographical location and recommendation method, applied in the field of data processing

Active Publication Date: 2018-09-25
ZHEJIANG UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides a geographical location-based recommendation method and recommendation system to solve the technical problem that prior art does not recommend based on geographic location

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
  • A Location-Based Recommendation Method and Recommendation System
  • A Location-Based Recommendation Method and Recommendation System

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] Such as figure 1 Shown is a flowchart of a geographical location-based recommendation method provided by an embodiment of the present invention, and the method includes the following steps:

[0025] In step S101, the area to be recommended is divided into multiple small areas by geographic features.

[0026] In the embodiment of the present invention, the area to be recommended may be divided into multiple small areas by geographical features, wherein the geographical features include but not limited to: one or more of zip code, longitude and latitude. For example, the area to be recommended can be divided into XXXXXX small area and YYYYYY small area according to the zip code; the area to be recommended can also be divided into a small area of ​​XX degrees east longitude and a small area of ​​YY degrees east longitude according to the longitude; the area to be recommended can also be divided according to latitude It is divided into a small area of ​​XX degrees north la...

Embodiment 2

[0038] Such as figure 2 Shown is a structural diagram of the geographic location-based recommendation system provided by the embodiment of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown, including:

[0039] The small area division unit 201 is configured to divide the area to be recommended into multiple small areas by geographic features.

[0040] In the embodiment of the present invention, the area to be recommended may be divided into multiple small areas by geographical features, wherein the geographical features include but not limited to: one or more of zip code, longitude or latitude. For example, the area to be recommended can be divided into XXXXXX small area and YYYYYY small area according to the zip code; the area to be recommended can also be divided into a small area of ​​XX degrees east longitude and a small area of ​​YY degrees east longitude according to the longitude; the a...

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 relates to data processing field, and provides a geographic position-based recommendation method and a recommendation system. The recommendation method comprises steps of a to-be-recommended area is divided into several small areas according to geographic characteristics; obtaining characteristic data of the small areas; converting the characteristic data into characteristic vectors; judging similarity of the characteristic vectors according to the preset cosine similarity formula; obtaining commodity data in a small area whose similarity is higher than a preset similarity threshold; calculating weighted value of commodities in the commodity data via the preset weighting formula; and obtaining the recommended commodity according to the weighted value. In this way, commodity recommendation can be performed according to geographic positions.

Description

technical field [0001] The invention belongs to the field of data processing, and in particular relates to a geographical location-based recommendation method and recommendation system. Background technique [0002] Traditional recommendation system algorithms mainly use recommendation algorithms based on collaborative filtering, recommendation algorithms based on context awareness, and recommendation algorithms based on social networks, while product recommendation methods based on user geographic location are not widely popular. However, with the vigorous development of the mobile Internet, users' geographic location data began to be obtained in large quantities through mobile phone GPS, and began to become an important characteristic attribute of product recommendation, making some product recommendation tasks based on user's geographic location possible. [0003] After the geographical location data of the user is collected, the user needs to be divided geographically fi...

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 Patents(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06F16/9537G06Q30/0271G06Q30/0277
Inventor 陈华钧吴庭张晓兵万向怡郑国轴吴朝晖
Owner ZHEJIANG UNIV