Design and Implementation of Twitter Based Food Recommendation System

摘要

In this paper, we proposed a system offering the Twitter user help in individual decision. The knowledge base in this paper is designed and implemented for Twitter realtime retrieval system. Twitter is a free social networking. Twitter posts microblog that is different from the long blog written seriously, so it is very convenient to use on mobile phones and other mobile terminals. Twitter users exchange information timely and efficient with the short text, and it is possible to exchange with user in other network platforms by using of the related links. The collected 'tweets' are classified by food types and a table of food types and corresponding key words such as sensorial adjectives, weather adjectives, anniversary and so on. At last, the table and weight values are stored in the ontology so that it gives users recommendations like a professional.