关键词: 群体行为, 标签效用, 效用飘移

Abstract: To solve the disordered annotation problem occurred in classification mark, this paper proposes an algorithm supporting for dynamic ranking of Web music tag. The efficacy of classification tags is calculated based on the log of click tags and other operation data. On the basis of fuzzy mathematics, this paper introduces respectively the tag efficacy measurement model, efficacy metric algorithm and efficacy drift measurement algorithm. Firstly, this paper constructs a hierarchical structure model for music tag system according to the metadata attributes of Web music. Secondly, this paper designs a group of classification tag efficacy indexes, and computes the efficacy using the fuzzy mathematics theory with adaptive characteristics. Thirdly, this paper proposes the efficacy models of classification tag respectively on the long-term and short-term, and defines efficacy volatility index to measure the stability of long-term and short-term efficacy. Finally, this paper employs a case study of music platform based on practical data to verify the efficiency of the proposed algorithm and show its applicability.

Key words: group behavior, tag efficacy, efficacy drift