Social recommendation: a review
Recommender systems play an important role in helping online users find relevant
information by suggesting information of potential interest to them. Due to the potential value …
information by suggesting information of potential interest to them. Due to the potential value …
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation
There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …
people have an overwhelming number of available options to choose from, eg products to …
Modeling brand post popularity dynamics in online social networks
Today's social media platforms are excellent vehicles for businesses to build and foster
relationship with customers. Companies create official fan pages on social network websites …
relationship with customers. Companies create official fan pages on social network websites …
Social transparency in networked information exchange: a theoretical framework
An emerging Internet trend is greater social transparency, such as the use of real names in
social networking sites, feeds of friends' activities, traces of others' re-use of content, and …
social networking sites, feeds of friends' activities, traces of others' re-use of content, and …
A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity
V Agarwal, KK Bharadwaj - Social Network Analysis and Mining, 2013 - Springer
The tremendous growth in the amount of attention and users, on social networking sites
(SNSs), has led to information overload and that adds to the difficulty of making accurate …
(SNSs), has led to information overload and that adds to the difficulty of making accurate …
Beyond personalization: Research directions in multistakeholder recommendation
Recommender systems are personalized information access applications; they are
ubiquitous in today's online environment, and effective at finding items that meet user needs …
ubiquitous in today's online environment, and effective at finding items that meet user needs …
Recommender systems: Sources of knowledge and evaluation metrics
Abstract Recommender or Recommendation Systems (RS) aim to help users dealing with
information overload: finding relevant items in a vast space of resources. Research on RS …
information overload: finding relevant items in a vast space of resources. Research on RS …
Team boundary spanning: Strategic implications for the implementation and use of enterprise social media
W Van Osch, CW Steinfield - Journal of Information …, 2016 - journals.sagepub.com
Recent team boundary spanning literature has recommended a shift toward assessing the
role of virtual tools–such as social media. Simultaneously the proliferation of Enterprise …
role of virtual tools–such as social media. Simultaneously the proliferation of Enterprise …
Who should i follow? recommending people in directed social networks
M Brzozowski, D Romero - … of the International AAAI Conference on …, 2011 - ojs.aaai.org
A variety of social networks feature a directed attention or" follower" network. In this paper,
we compare several methods of recommending new people for users to follow. We analyzed …
we compare several methods of recommending new people for users to follow. We analyzed …
Mining user similarity based on routine activities
M Lv, L Chen, G Chen - Information Sciences, 2013 - Elsevier
Mobile user similarity is significant for location-based social network services. With the
pervasiveness of location-acquisition technologies, research on measuring mobile user …
pervasiveness of location-acquisition technologies, research on measuring mobile user …