自然言語処理

Tourist Spots Recommendation System

Word Vector

Natural Language Processing

観光地推薦システム

単語ベクトル

[ABSTRACT] The purpose of this study is to examine the optimum condition for applying distributed representations of words to recommendation system of tourist spots and verify the effectiveness of this system applying word distribution expression. The system consists of four processes: word vector creation, data input and vectorization, similarity calculation, tourist spots extraction and presentation. In order to raise accuracy in this system, we conducted preliminary experiments on tourist spots databases and corpus. As a result of the evaluation experiment, the proposed method has better results than the existing method and the effectiveness was confirmed.