Research on Product Recommendation Based on Sentiment Words of Online Reviews
Qiang Tong · Journal of Zhengzhou University · 2011
A number of products attributes were exited from the online customer reviews about the products.These attributes could be extracted from the reviews using the Apriori algorithm.Through establishing fuzzy rules of the product attributes,the value of the personalized product recommendations could be calculated.Using the reviews of Jingdong online shop,the calculation result showed that our method was more personalized than traditional method.