Attention-based context-aware sequential recommendation model Recurrent neural networks (RNN) based recommendation algorithms have been introduced recently as sequence information plays an increasingly important role ... WYA B,WA Hong,XY A,... - 《Information Sciences》 被引量: 0发表: 2020年 Context...
根据网上的某些说法,sequencial recommendation 还可以被叫做 next-item / basket recommendation。这个领域的开山文章应该是 Rendle 的 FPMC(Rendle2010),文章开头就给出了一个相对准确的定义:In this paper, we deal with the problem setting where sequential basket data is given per user。 由此可以看出来,sequen...
To address these issues, we propose an attention-based context-aware sequential recommendation model using Gated Recurrent Unit (GRU), abbreviated as ACA-GRU. First, we consider the impact of context information on recommendations and classify them into four categories, including input context, ...
Deep Context-Aware Recommender System Utilizing Sequential Latent Context Context-aware recommender systems (CARSs) apply sensing and analysis of user context in order to provide personalized services. Adding context to a recommendation model is challenging, since the addition of context may increases both...
The second main part of the book applies this general theory to the three scenarios of item, tag and sequential-set recommendation. Furthermore extensions of time-variant factors and one-class problems are studied. This book generalizes and builds on work that has received the `WWW 2010 Best ...
Second, we introduce relevant research in the area of context-aware recommendation systems which inspired us in the design of the suggested methods. Contextual sequences We first formalize the structure of contextual sequences that can be modeled with the suggested methods. In general, we focus on...
Thus, machine learning based context-aware rules can be used to make such recommendation system more intelligent. In general, predictive modeling based applications are most important in the area of machine learning and smartphone data analytics [141]. Thus, the machine learning based context-aware ...
Wu and Y. Huang and Liang Wang (2019) A hierarchical contextual attention-based GRU network for sequential recommendation. Neurocomputing, 358, 141–149 Zichao Yang and Diyi Yang and Chris Dyer and X. He and Alex Smola and E. Hovy (2016) Hierarchical attention networks for document ...
which depends on the temporal context. Similarly another context, e.g., location information, might have the influence to make different recommendations for the users [136,137]. Such contextual recommendation is important for tourists who travel outside their usual environment [138]. As traditional...
Being so encoded, it will be appreciated that the display-ready image 28 is comprised of a plurality of individual pixels, and typically is generated to have a white point of approximately 6500K based on illuminant D65, which is also the white point defined in ITU-R Recommendation BT.709 ...