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Personalized line recommendation system and method based on a location social network

A technology of social network and recommendation method, applied in the field of information recommendation system, can solve the problem of low travel efficiency, achieve the effect of improving efficiency, optimizing operation efficiency, and reducing invalid distance

Inactive Publication Date: 2019-06-21
HEILONGJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The present invention aims to solve the problem that the matching degree of information such as points of interest, stay time, cost and other information of the server in the current route recommendation method needs to be further improved, and the recommended route has low travel efficiency.

Method used

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  • Personalized line recommendation system and method based on a location social network
  • Personalized line recommendation system and method based on a location social network
  • Personalized line recommendation system and method based on a location social network

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0033] A personalized route recommendation system based on location social network, including an offline point of interest planning unit and an online route recommendation unit;

[0034] The off-line data planning unit includes:

[0035] The offline point of interest planning module obtains point of interest information based on user historical check-in data. The point of interest information includes:

[0036] 1. The cost, type, and stay time of points of interest; 2. The historical check-in records of users; 3. The social network relationship between users obtained from LBSN (Location-based Social Network, location-based social network); and according to Cluster the information of points of interest, plan the stay time of points of interest, travel expenses and types and other information;

[0037] The point of interest evaluation module constructs a point of interest scoring model based on user and time characteristics according to the obtained point of interest informatio...

specific Embodiment approach 2

[0043] A personalized route recommendation method based on a location social network, comprising the following steps:

[0044] The process in which the user sends a route planning request to the server through the browser;

[0045] The process in which the server acquires social network relationships and performs offline point-of-interest planning;

[0046] The process of the server constructing the point-of-interest scoring model;

[0047] The server performs route planning and recommends the best route that meets the requirements to the user.

specific Embodiment approach 3

[0049] The process in which the user sends a route planning request to the server through the browser in this embodiment includes the following steps:

[0050] The user inputs information such as travel time constraints, cost budget, and personal preference types (such as parks, shopping centers, museums, restaurants, hotels, libraries, etc.) through the mobile phone browser; the planning request module obtains the time constraints, cost budget, and Information such as personal preferences forms a route planning request Q and sends it to the route planning module. The information contained in the route planning request Q includes (ID, time, cost, start, end, type), wherein ID is the ID of the route planning request, time is the time constraint, cost is the cost budget, and start is the starting point information. end is the end point information, and type is the type of personal preference.

[0051] Other steps are the same as in the second embodiment.

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Abstract

The invention discloses a personalized line recommendation system and method based on a position social network, and belongs to the technical field of information. The invention aims to solve the problem that the matching degree of information such as offline mining of interest points and stay time, expenditure and the like of a server and the willingness degree of a user needs to be further improved in the existing line recommendation method and the problem that the travel efficiency of a recommended line is low. The system comprises an offline interest point planning module which acquires interest point information according to user history sign-in data and carries out clustering according to the interest point information; An interest point evaluation module which constructs an interestpoint scoring model based on user and time characteristics according to the obtained interest point information and carries out scoring; The planning request module is used for acquiring user input information and generating a route planning request; And the route planning module plans a route according to the interest point information of the user, the user information module, the starting placeinformation and the starting time information. The method is suitable for personalized line recommendation.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to an information recommendation system and method. Background technique [0002] With the rise and development of location-based social networks (such as Yelp and FourSquare), users can check-in and rate the restaurants, movie theaters, parks, etc. they have visited through smart terminals. Other users can select places of interest based on these ratings and reviews. This large-scale social media information contains rich metadata information, such as point-of-interest feature tags, time information, and geographic tag information. Although these contextual data are rough and complicated, they are very useful for multimedia applications, such as label definition, search, advertisement push and recommendation, etc. Among many applications, route recommendation has received extensive attention due to its close connection and importance to daily life. Generally spe...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9537G06F16/29G06Q10/04G06Q50/14
Inventor 朱敬华刘勇马欣星明骞
Owner HEILONGJIANG UNIV
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