A Hybrid Recommendation Method Based on Feature for Offline Book Personalization

Xixi Li ； Jiahao Xing ； Haihui Wang ； Lingfang Zheng ； Suling Jia ； Qiang Wang

《電腦學刊》 30卷5期 (2019/10) Pp. 1-17

https://doi.org/10.3966/199115992019103005001

摘要

Recommendation system has been widely used in different areas. Collaborative filtering focuses on rating, ignoring the features of items itself. In order to effectively evaluate customers' preferences on books, taking into consideration of the characteristics of offline book retail, we use LDA model to calculate customers' preference on book topics and use word2vec to calculate customers' preference on book types. When forecasting rating on books, we take two factors into consideration: similarity of customers and correlation between customers and books. Experiment shows that our hybrid recommendation method based on features performances better than single recommendation method in offline book retail data.

關鍵字

collaborative filtering ； customer preference ； hybrid recommendation ； offline book transaction