Dynamically Optimized Context in Recommender Systems

• Main Authors: YAP, Ghim-Eng, TAN, Ah-Hwee, PANG, Hwee Hwa
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2005
• Subjects: machine learning; recommender system; user feedback; context weight; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1137; https://ink.library.smu.edu.sg/context/sis_research/article/2136/viewcontent/Dynamically_Optimized_Context_in_Recommender_Systems__edited_.pdf
• Institution: Singapore Management University

Traditional approaches to recommender systems have not taken into account situational information when making recommendations, and this seriously limits the relevance of the results. This paper advocates context-awareness as a promising approach to enhance the performance of recommenders, and introd...