阴性症状主要包括两方面：动机与情绪的缺损，及言语与非言语性表达的减少，本文主要针对动机/情绪的四个方面：即时性愉快体验，期待性愉快体验，动机，行为反应与情绪状态的平衡。... || schizophrenia; pleasure; motivation; || Ann, M. Kring; Deeanna M. Barch...
Recommender systems are frequently used in domains in which users express their preferences in the form of graded judgments, such as ratings. Current ranking techniques are based on one of two sub-optimal approaches: either they optimize for a binary metric such as Average Precision, which discards ... || Collaborative filtering, graded average precision, latent factor model, recommender systems, top-n recommendation, ranking; || Yue Shi; Alexandros Karatzoglou; Linas Baltrunas...
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objective functions to be optimized. Many different evaluation metrics have been proposed in the IR literature, with average p... || information retrieval, effectiveness metrics, average precision, graded relevance, learning to rank, GAP; || Stephen E. Robertson; Evangelos Kanoulas; Emine Yilmaz...
The cold-start problem involves recommendation of content to new users of a system, for whom there is no historical preference information available. This proves a challenge for collaborative filtering algorithms that inherently rely on such information. Recent work has shown that social metadata, s... || cold start; content-based; recommender system; low-rank; || Suvash Sedhain; Aditya Krishna Menon; Scott Sanner; Lexing Xie; Darius Braziunas S...
Purchase behavior prediction is one of the most important issues to promote both e-commerce companies’ sales and the consumers’ satisfaction. The prediction usually uses features based on the statistics of items. This kind of features can lead to the loss of detailed information of items. While all ... || recommender system; behavior analysis; prediction; e- commerce; session; recsys; || Chen CHEN; Jiakun XIAO; Chunyan HOU; Xiaojie YUAN...
