关键词: 形式概念分析（FCA）, 组推荐, 启发式算法, 推荐系统

Abstract:

Formal concept analysis is a data analysis method for formal context and has been introduced into the field of recommender systems. As an effective tool for formal concept analysis, concept lattice is difficult to cope with large-scale data in e-commerce because of its low construction efficiency. To solve this problem, this paper proposes a group recommendation method based on heuristic concept construction. Firstly, based on user??s common scoring items, a heuristic information is defined to speed up construction of concept. At the same time, using the intension constraint, a concept with largest area is constructed to aggregate more similar users. Then, on the concept set covering all users, group users in the concept are recommended by items popularity of the group. In the sampled data sets and MovieLens, the proposed method is compared to two different recommended methods. The experi-mental results show that the method can quickly generate a set of concepts to meet the recommendation require-ments under large-scale data.

Key words: formal concept analysis (FCA), group recommendation, heuristic algorithm, recommender system