Recommender systems based on user reviews: the state of the art
In recent years, a variety of review-based recommender systems have been developed, with
the goal of incorporating the valuable information in user-generated textual reviews into the …
the goal of incorporating the valuable information in user-generated textual reviews into the …
Down the (white) rabbit hole: The extreme right and online recommender systems
In addition to hosting user-generated video content, YouTube provides recommendation
services, where sets of related and recommended videos are presented to users, based on …
services, where sets of related and recommended videos are presented to users, based on …
Social friend recommendation based on multiple network correlation
Friend recommendation is an important recommender application in social media. Major
social websites such as Twitter and Facebook are all capable of recommending friends to …
social websites such as Twitter and Facebook are all capable of recommending friends to …
Characterizing silent users in social media communities
Silent users often constitute a significant proportion of an online user-generated content
system. In the context of social media such as Twitter, users can opt to be silent all or most of …
system. In the context of social media such as Twitter, users can opt to be silent all or most of …
Reciprocal recommendation system for online dating
Online dating sites have become popular platforms for people to look for potential romantic
partners. Different from traditional user-item recommendations where the goal is to match …
partners. Different from traditional user-item recommendations where the goal is to match …
A graph-based taxonomy of recommendation algorithms and systems in LBSNs
P Kefalas, P Symeonidis… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
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 …
geo-tagged information along with photos, videos, and SMSs. Recommender systems can …
The known stranger: Supporting conversations between strangers with personalized topic suggestions
Striking up a good conversation with new acquaintances is often a difficult problem. In this
paper we report on the perceptions of wearable device users who were given real-time …
paper we report on the perceptions of wearable device users who were given real-time …
Tumblr blog recommendation with boosted inductive matrix completion
Popular microblogging sites such as Tumblr have attracted hundreds of millions of users as
a content sharing platform, where users can create rich content in the form of posts that are …
a content sharing platform, where users can create rich content in the form of posts that are …
Cloud computing service for knowledge assessment and studies recommendation in crowdsourcing and collaborative learning environments based on social network …
Interactions among people have substantially changed since the emergence of social
networks, the expansion of the Internet and the proliferation of connected mobile devices …
networks, the expansion of the Internet and the proliferation of connected mobile devices …
[PDF][PDF] Classifying short text in social media: Twitter as case study
F Kateb, J Kalita - International Journal of Computer Applications, 2015 - researchgate.net
With the huge growth of social media, especially with 500 million Twitter messages being
posted per day, analyzing these messages has caught intense interest of researchers …
posted per day, analyzing these messages has caught intense interest of researchers …