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推荐系统已经得到广泛研究和应用并产生了巨大价值。作者提出推荐算法个性化的概念,并将推荐系统划分为非个性化系统、个性化推荐系统、算法参数个性化的推荐系统,以及推荐算法个性化的系统。指出了推荐系统两个全新的研究方向,并初步展示了其在推荐效果提升上的巨大潜力。
Abstract：Recommender systems have been widely studied and applied. In this paper,the concept of individual recommendation algorithm is proposed,and accordingly the recommender systems are classified into four types: the non-personalized system,the personalized recommender system,the algorithm parameters personalized recommender system,and the individual recommender system. This paper thus suggests two new research directions of the recommender systems,and shows preliminary potential for the considerable improvementin commercial use.
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基本信息:
DOI：10.16246/j.issn.1673-5072.2016.01.009
中图分类号:TP391.3
引用信息:
[1]尚明生.推荐系统:从个性化算法到算法的个性化[J].西华师范大学学报(自然科学版),2016,37(01):61-66+3.DOI:10.16246/j.issn.1673-5072.2016.01.009.
基金信息:
国家自然科学基金项目(61370150,61433014)