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Goods recommending method based on geographic information

A technology of geographic information and product recommendation, applied in marketing and other directions, can solve the problem of not taking into account the key factor of geography, etc.

Inactive Publication Date: 2012-07-11
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Content-based recommendation and collaborative recommendation reflect a certain shopping demand of users in different aspects, but the above-mentioned recommendation methods do not take into account the key factor of geography.
Obviously, due to differences in culture, climate, and ethnicity, people in different regions have very different consumption habits, and the current product recommendation system does not take this important feature into consideration.

Method used

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  • Goods recommending method based on geographic information
  • Goods recommending method based on geographic information
  • Goods recommending method based on geographic information

Examples

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Embodiment Construction

[0015] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0016] figure 1 The steps of the product recommendation method based on geographic information are shown, mainly including:

[0017] Step S100, acquiring user location information. When the client logs in to the website through a web browser, the website obtains the user's geographical information. The user's geographical information comes from several aspects, such as: 1) the user uses a mobile device with satellite positioning, then the geographical information is equal to the geographical coordinates measured by the mobile device; 2) the user's delivery address; 3) the geographical location specified manually by the user Location; 4) According to the IP address when the user logs in to the website, the user's geographic location is automatically obtained. The above geographic information sources specify the user's current geographic status...

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Abstract

The invention discloses a goods recommending method for an electronic commerce website, which comprises the steps of: establishing geographic information of a user based on a delivery address of the user; recording geographic information of the user by virtue of a mobile device of the user; and recommending goods to the user according to the geographic information, the shopping history and the browsing history of the user and the shopping preference of other adjacent users, wherein two modes are adopted in the goods recommending method, a combined recommendation method based on content recommendation and geographic information filtration is adopted when the user browses the goods, and a combined recommendation method based on synergy recommendation and geographic information filtration is adopted when the user buys the goods.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a product recommendation method based on geographical information applicable to e-commerce websites. Background technique [0002] In recent years, with the advancement of computer and network technology, e-commerce has developed rapidly. With its advantages of convenience, speed, low price, and complete categories, e-commerce has seen its market share soar year by year. Large-scale e-commerce websites often sell a large number of products, but the products that can be presented to users on the website pages are limited, so a product recommendation system is often needed, which can recommend the most suitable products to customers according to user preferences. [0003] Traditional product recommendation systems often recommend products that users may be interested in based on the user's interests and hobbies. The product recommendation algorithm is the core of the entire pro...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 韩军
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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