Articles - Computer Science
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Multi-modal matrix factorization with side information for recommending massive open online courses
(2019)Massive open online courses (MOOCs) have recently gained a huge users’ attention on the Web. They are considered as a highly promising form of teaching from leading universities such as Stanford and Berkeley. However, users ... -
A unified framework for providing recommendations in social tagging systems based on ternary semantic analysis
(2010)Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, Web links, products, etc.). Social tagging systems (STSs) can provide three different ... -
Transitive node similarity: Predicting and recommending links in signed social networks
(Springer New York LLC, 2014)Online social networks (OSNs) like Facebook, Myspace, and Hi5 have become popular, because they allow users to easily share content. OSNs recommend new friends to registered users based on local features of the graph (i.e., ... -
A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs
(IEEE Computer Society, 2016)Recently, location-based social networks (LBSNs) gave the opportunity to users to share geo-tagged information along with photos, videos, and SMSs. Recommender systems can exploit this geographic information to provide ... -
Recommendations based on a heterogeneous spatio-temporal social network
(2017)Recommender systems in location-based social networks (LBSNs), such as Facebook Places and Foursquare, have focused on recommending friends or locations to registered users by combining information derived from explicit ... -
Providing justifications in recommender systems
(2008)Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload"problem. Providing justification to a recommendation gives credibility to a recommender system. Some ... -
Collaborative recommender systems: Combining effectiveness and efficiency
(2008)Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendation technique that confronts the "information ... -
A generalized taxonomy of explanations styles for traditional and social recommender systems
(Kluwer Academic Publishers, 2012)Recommender systems usually provide explanations of their recommendations to better help users to choose products, activities or even friends. Up until now, the type of an explanation style was considered in accordance to ... -
Nearest-biclusters collaborative filtering based on constant and coherent values
(2008)Collaborative Filtering (CF) Systems have been studied extensively for more than a decade to confront the "information overload" problem. Nearest-neighbor CF is based either on similarities between users or between items, ... -
Recommending posts in political blogs based on tensor dimensionality reduction
(CRL, 2009)Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (posts, songs, pictures, web links, products etc.). Political blogs can recommend posts to users, ... -
"YouTube Debate": A New Era of Internetized Television Politics?
(IGI Global, 2010)Integration of Television with Internet technologies has renewed the discussion for a new era of political communication. The adoption of Internet communication rules in television, has introduced a new hybrid model of ... -
From biological to social networks: Link prediction based on multi-way spectral clustering
(2013)Link prediction in protein-protein interaction networks (PPINs) is an important task in biology, since the vast majority of biological functions involve such protein interactions. Link prediction is also important for ... -
Fast and accurate link prediction in social networking systems
(2012)Online social networks (OSNs) recommend new friends to registered users based on local-based features of the graph (i.e. based on the number of common friends that two users share). However, OSNs do not exploit all different ... -
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags
(2010)Social tagging is becoming increasingly popular in music information retrieval (MIR). It allows users to tag music items like songs, albums, or artists. Social tags are valuable to MIR, because they comprise a multifaced ... -
ClustHOSVD: Item Recommendation by Combining Semantically Enhanced Tag Clustering with Tensor HOSVD
(Institute of Electrical and Electronics Engineers Inc., 2016)Social tagging systems (STSs) allow users to annotate information items (songs, pictures, etc.) to provide them item/tag or even user recommendations. STSs consist of three main types of entities: 1) users; 2) items; and ... -
Spectral clustering for link prediction in social networks with positive and negative links
(Springer-Verlag Wien, 2013)Online social networks (OSNs) recommend new friends to registered users based on local features of the graph (i.e. based on the number of common friends that two users share). Real OSNs (e.g. Facebook) do not exploit all ... -
Extended feature combination model for recommendations in location-based mobile services
(Springer-Verlag London Ltd, 2015)With the increasing availability of location-based services, location-based social networks and smart phones, standard rating schema of recommender systems that involve user and item dimensions is extended to three-dimensional ... -
Learning relational user profiles and recommending items as their preferences change
(World Scientific Publishing Co. Pte Ltd, 2015)Over the last decade a vast number of businesses have developed online e-shops in the web. These online stores are supported by sophisticated systems that manage the products and record the activity of customers. There ... -
Semantics, Analysis and Simplification of DMN Decision Tables
(Elsevier, 2018)The Decision Model and Notation (DMN) is a standard notation to capture decision logic in business applications. A central construct in DMN is that of a decision table. The increasing use of DMN decision tables to capture ... -
A Hardware/Software Stack for Heterogeneous Systems
(2018)Plenty of novel emerging technologies are being proposed and evaluated today, mostly at the device and circuit levels. It is unclear what the impact of different new technologies at the system level will be. What is clear, ...
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