With the rapidly growing usage of e-commerce applications, it is becoming more and more
tedious for the vendors to perform accurate and relevant recommendations to the users …

Recommender Systems (RS) help users to find items and make choices which may suit their
taste and needs. A user's past behavior, taste and general buying trends may effectively be …

学术社交网络的出现改变了传统的科研方式, 对于如何基于学术社交网络为学者进行团队个性化
推荐进行了研究, 提出了一种多维度潜在团队推荐模型(multi-faceted team recommendation …

How can recommendation accuracy be improved in a personalized news recommender
system? In this paper, we utilize new attributes in addition to standard recency and …

We describe and evaluate a set of protocols that implement a distributed, decentralized
desktop grid. Incoming jobs are matched with system nodes through proximity in an N …

Generally speaking, information filtering systems recommend users items that are related to
their usage and/or static profiles or items visited or liked by users having same interests or …

As we are familiar with the increasing number and demand for online videos on the internet
has led to difficulty in the extraction of required data. The recommendation system is used to …

Objectives: To analyze the issue of cold-start (user cold-start and item cold-start) in
Collaborative Filtering Recommender System (CFRS) and to compare its solution with …

With the tremendous growth in the number of users watching on-demand movies over the
Internet, Content Delivery Network (CDN) is used to provide a more efficient network and …

Аннотация В последние несколько десятилетий научная коммуникация все шире
осуществляется посредством академических социальных сетей. Целью статьи …