CAJ | 학술논문

基于K近邻（ KNN）的协同过滤算法是推荐系统最为核心的技术之一，也是目前应用最广泛的技术；基于信任的推荐系统能够有效地解决传统协同过滤技术在应用中遇到的冷启动、易受攻击等问题。结合上述两种推荐系统算法提出一种自适应信任算法。该算法具有自适应选择信任计算算法和自适应选择信任近邻数目的特点。
기우K근린（ KNN）적협동과려산법시추천계통최위핵심적기술지일，야시목전응용최엄범적기술；기우신임적추천계통능구유효지해결전통협동과려기술재응용중우도적랭계동、역수공격등문제。결합상술량충추천계통산법제출일충자괄응신임산법。해산법구유자괄응선택신임계산산법화자괄응선택신임근린수목적특점。
Collaborative filtering algorithm based on k-nearest neighbour ( KNN) is one of the most core technologies in recommender sys-tem, and is the most widely applied technology at present .Trust-based recommender system can effectively solve the problems such as “cold start” and“vulnerability” encountered by the traditional collaborative filtering technology in its application .In this paper we present an adap-tive trust algorithm combining the above two recommender system algorithms .This algorithm has the characteristic that it can adaptively select the trusted calculation algorithm and the number of trusted nearest neighbours .