Collaborative Filtering Recommendation Algorithm Based on Linguistic Concept Lattice with Fuzzy Object
Kuo Pang, Ning Kang, Siqi Chen, Hongliang Zheng, Li Zou · 2019
With the coming of the era of big data, the recommendation system has become the most important way for all industries to obtain more effective information. Aiming at the problem of recommendation fuzzy explanation in recommendation system, we propose a collaborative filtering algorithm (CF) based on linguistic concept lattice with fuzzy object. Specifically, we introduce two operators between objects and linguistic concepts, and discuss their properties. Based on that, we construct a linguistic concept lattice with fuzzy object. Furthermore, considering the similarity between objects in the linguistic formal context with fuzzy object, we also propose an aggregation operator between linguistic concepts to obtain more accurate recommendation results for users. Finally, a practical example which concerned the movie recommendation is given to intuitively illustrate the applicability and effectiveness of the algorithm.