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Mobile user tag based personalized food recommendation method

A recommendation method and mobile user technology, applied in marketing and other directions, can solve the problems of slow recommendation speed, low recommendation quality, cold start, etc., and achieve the effect of improving quality and speeding up recommendation speed

Inactive Publication Date: 2015-06-24
HUNAN SONGGUIFANG ELECTRONICS BUSINESS
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a personalized food recommendation method based on mobile user tags, which solves the problems of low recommendation quality, large calculation, slow recommendation speed and cold start when commonly used algorithms are used for recommendation at present.

Method used

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  • Mobile user tag based personalized food recommendation method
  • Mobile user tag based personalized food recommendation method
  • Mobile user tag based personalized food recommendation method

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Embodiment Construction

[0018] The present invention will be described in detail below in combination with specific embodiments.

[0019] The present invention combines tags and collaborative filtering recommendations to propose a new recommendation algorithm such as figure 1 shown. Calculate user preference and resource feature similarity based on tags, and combine resource-based collaborative filtering recommendation to realize personalized recommendation of resources.

[0020] The specific recommendation process is as follows: when the user starts the software, the user’s location latitude and longitude will be obtained and transmitted to the backend, and the backend will select N merchants closest to the user or merchants within k kilometers away from the user for recommendation according to the user’s latitude and longitude. The recommendation module part, based on user recommendations, calculates the similarity between the target user and other users according to the user's rating of the merch...

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Abstract

The invention discloses a mobile user tag based personalized food recommendation method. The method comprises the following steps that a user-restaurant location preference index is got; a restaurant-tag preference index is got, and a restaurant-tag preference vector is obtained; a user-tag preference index is got, and a user-tag preference vector is obtained; according to the restaurant-tag preference vector and the user-tag preference vector, a user-restaurant preference index is got; according to the user-restaurant preference index, the similarity of users is got; according to the similarity of the users, a predicted preference index of a target user to a target restaurant is got; according to the user-restaurant location preference index and the predicted preference index of the target user to the target restaurant, a mean absolute deviation MAEua of the target user ua is got, and therefore recommending is carried out. The mobile user tag based personalized food recommendation method has the advantages that by combining the user, the target of a merchant and the position, the personalized food recommending is carried out, the recommending quality is improved, and the recommending speed is increased.

Description

technical field [0001] The invention belongs to the technical field of e-commerce, and relates to a personalized food recommendation method based on mobile user tags. Background technique [0002] The rapid development of information technology, especially Internet technology, has brought human beings into the era of information explosion and brought a great information burden to people. The emergence of personalized recommendation systems provides an effective tool for Internet information overload. Especially in the era of Web 2.0, users use social tags to classify information, and can freely organize, manage and search for the resources they need. Ease of use makes tags an important way to classify and index information, which can not only reflect the interests of users, but also reflect the characteristics of resources. [0003] With the development of the mobile Internet and the rapid development of mobile devices, the rapid development of mobile e-commerce. The O2O ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
Inventor 李中坤陈浩胡为
Owner HUNAN SONGGUIFANG ELECTRONICS BUSINESS
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