In the past few decades recommender system has reshaped the way of information filtering between websites and the users. It helps in identifying user interest and generates product …
M Gao, Z Wu, F Jiang - Information Processing Letters, 2011 - Elsevier
With the recent explosive growth of the Web, recommendation systems have been widely accepted by users. Item-based Collaborative Filtering (CF) is one of the most popular …
Recommender system plays a supporting role in the process of information filtering. It plays a remarkable role in large-scale online shopping and product suggestions. This paper …
J Wang, Q Li, YP Chen, Z Lin - … of the 48th annual meeting of the …, 2010 - aclanthology.org
The variety of engaging interactions among users in social medial distinguishes it from traditional Web media. Such a feature should be utilized while attempting to provide …
Y Zhou, X Guan, Z Zhang, B Zhang - … of the hypertext 2008 workshop on …, 2008 - dl.acm.org
Topic discussion is a significant phenomenon on the online social network, which would attract the rising attention in the near future. In this paper, we predict the tendency of topic …
For learners engaging in senior-level courses, tutors in many cases would like to pick some articles as supplementary reading materials for them each week. Unlike researchers …
M Malinowski - arXiv preprint arXiv:2402.08275, 2024 - arxiv.org
This paper presents a study on the implementation of the author's Algorithm of Recommendation Sessions (ARS) in an operational e-commerce information system and …
Y Xiao, T Du, W Zhu, Q Li - … Management of e-Commerce and e …, 2012 - ieeexplore.ieee.org
In its brief history of about two decades, the Web has evolved from a technical framework for information dissemination to more of an enabler of social interactions among its users. This …