Social Data Schema and Recommendation Method for Restaurant Information

Minsoo Lee

Social data, Recommendation, Database, Schema, Restaurant Information

Big data created by Social network contains all sorts of information of the real world such as human relations, time, space and etc. Now it is possible to collect huge amount of data and store it. But the more data we get, the more difficult it is to get the meaningful and requisite information for each person. Thus, it is necessary for us to have a customized restaurant recommendation system with a high degree of accuracy which reflects personal characteristics using big data. In this paper, we organized key factors that affect the restaurant recommendation by analyzing the characteristics of big data provided by SNS. On the basis of these key factors and relations, we designed a big data model and embodied it for information recommendation systems using MongoDB. The restaurant recommendation technique uses a collaborative filtering approach by using the factors of the social network and the user’s evaluation history.

10.22161/ijaers/3.10.36