关键词: 用户兴趣, 相似性, 多阶量化, 关系预测

Abstract:  For the problem that current researchers only pay their attention to the changeability and ignore the durability when they study user interest in microblog, this paper proposes a user relationship prediction algorithm based on interest similarity. In this algorithm, interests are divided into two types: long-term interest characterized by labels and short-term interest characterized by texts, and a frequency statistics and multi-order quantization method is used to measure and update the degree of user interest according to the features of the interest. The similarity between user interests is computed by the method of cosine similarity which is used to predict user relationship. Results show that the proposed algorithm can accurately describe user??s interest, and improve the precision of user relationship prediction.

Key words: user interest, similarity, multistage quantization, relationship prediction