基于情感的混合推荐模型

Emotion-Based Hybrid Recommendation Model

情感因素对于顾客购买行为有很大的影响,本文使用传统的基于内容的推荐算法与协同过滤算法相结合,在此基础上引入基于情感的推荐算法,通过计算顾客对于商品的情感分值,作为推荐主要依据,通过行实验评估,对推荐的准确性和稳定性都有较大的提升。

Emotion plays an important role in customers＇ purchasing behaviors. Based on the tra- ditional content- based recommendation algorithm and the collaborative filtering algorithm, this paper introduces the emotion-based recommendation algorithm. It calculates scores of customers＇ emotion for commodities and takes it as the main clue it greatly improves the accuracy and stabi for recommendation. The experimental evaluation proves that lity of recommendation.