计算机应用与软件2026，Vol.43Issue(6)：1-7,45,8.DOI:10.3969/j.issn.1000-386x.2026.06.001
基于行为上下文的感知智能推荐系统研究进展
ADVANCES IN BEHAVIOR-BASED CONTEXT-AWARE INTELLIGENT RECOMMENDATION SYSTEM
摘要
Abstract
Behavior-based context-aware intelligent recommender systems(BCAIRS)have become a research hotspot in the field of recommendation systems.We provided a brief overview and definition of existing BCAIRS,summarizing the basic recommendation procedures of such systems.Building on this,we proposed a comprehensive classification framework and conducted an in-depth analysis of different types of BCAIRS from perspectives such as model structure and application fields.We summarized and analyzed how to select recommendation methods from the proposed classification framework for specific recommendation tasks and outlined the directions for future research.关键词
推荐系统/上下文感知/行为上下文/上下文感知智能推荐系统Key words
Recommendation system/Context-aware/Behavior-based contextual/Context-aware intelligent recom-mendation systems分类
信息技术与安全科学引用本文复制引用
李鹏飞,张引,张斌..基于行为上下文的感知智能推荐系统研究进展[J].计算机应用与软件,2026,43(6):1-7,45,8.基金项目
国家自然科学基金地区联合基金重点项目(U1908212). （U1908212）
