Sequential recommendationContext information, such as product category, plays a vital role in sequential recommendations. Recently, there has been a growing interest in context-aware sequential recommender syst
Sequencial recommendation 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...
Giles, "A Supervised Learning Method for Context-Aware Citation Recommendation in a Large Corpus," in Proceedings of the Large-Scale and Disributed Systems for Information Retrieval Workshop (LSDS-IR), 2013, pp. 17-22.L. Rokach, P. Mitra, S. Kataria, W. Huang, and L. Giles, "A ...
KDD 2022 | User-Event Graph Embedding Learning for Context-Aware Recommendation 文章信息来源:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)标题:User-Event Graph Embedding Learning for Context-Aware Recommendation作者:Liu, Dugang and He, Mingkai and ...
Context-aware citation recommendation aims to automatically predict suitable citations for a given citation context, which is essentially helpful for researchers when writing scientific papers. In existing neural network-based approaches, overcorrelation in the weight matrix influences semantic similarity, whi...
the sequence-aware recommendation problem can be considered as a special case for the activity recommendation framework proposed in the current research work (Kumar et al., 2014, Kumar et al., 2016, Kumar et al., 2017), since the activity recommendation framework considers the sequential order ...
Context-aware recommendationCollaborative contextContext awarenessNo Abstract available for this article.doi:10.1007/s10844-015-0364-5Alhamid, Mohammed FKing Saud UnivRawashdeh, MajdiNYUHossain, M. AnwarKing Saud UnivAlelaiwi, AbdulhameedKing Saud UnivEl Saddik, Abdulmotaleb...
splitting方法分为item-splitting,user-splitting,UI-splitting三种。 splitting的基本思想: 对于某个事物X,如果它随着环境(上下文)的改变,X也发生很大的变化,则应该认为X在不同的环境(上下文)中是属于不同的事物,因此我们应该把它们分割开来,当成不同的事物对待。
We suggested a context-aware recommendation model to recommend mobile applications or contents by recognizing users’ context data. The usability data of applications consist of activities which were active during the use of a mobile device. The features of these activities are related with time, ...
splitting方法分为item-splitting。user-splitting,UI-splitting三种。 splitting的基本思想: 对于某个事物X。假设它随着环境(上下文)的改变。X也发生非常大的变化,则应该觉得X在不同的环境(上下文)中是属于不同的事物,因此我们应该把它们切割开来。当成不同的事物对待。