Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy
In recent years, there has been a rapid growth of user-generated data in collaborative
tagging (aka folksonomy-based) systems due to the prevailing of Web 2.0 communities. To …
tagging (aka folksonomy-based) systems due to the prevailing of Web 2.0 communities. To …
Community-aware user profile enrichment in folksonomy
In the era of big data, collaborative tagging (aka folksonomy) systems have proliferated as a
consequence of the growth of Web 2.0 communities. Constructing user profiles from …
consequence of the growth of Web 2.0 communities. Constructing user profiles from …
Improving user recommendation by extracting social topics and interest topics of users in uni-directional social networks
With the rapid growth of population on social networks, people are confronted with
information overload problem. This clearly makes filtering the targeted users a demanding …
information overload problem. This clearly makes filtering the targeted users a demanding …
Folksonomy-based personalized search by hybrid user profiles in multiple levels
Recently, some systems have allowed users to rate and annotate resources, eg, MovieLens,
and we consider that it provides a way to identify favorite and non-favorite tags of a user by …
and we consider that it provides a way to identify favorite and non-favorite tags of a user by …
Visual abstraction and exploration of large-scale geographical social media data
Z Zhou, X Zhang, Z Guo, Y Liu - Neurocomputing, 2020 - Elsevier
A great deal of text and geographical information is provided in the geo-tagged social media
data, which offers unprecedented opportunities to get insights into the social behaviors …
data, which offers unprecedented opportunities to get insights into the social behaviors …
[Retracted] Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph
R Mu, X Zeng - Mathematical Problems in Engineering, 2018 - Wiley Online Library
To solve the problem that collaborative filtering algorithm only uses the user‐item rating
matrix and does not consider semantic information, we proposed a novel collaborative …
matrix and does not consider semantic information, we proposed a novel collaborative …
A new measure for community structures through indirect social connections
Based on an expert systems approach, the issue of community detection can be
conceptualized as a clustering model for networks. Building upon this further, community …
conceptualized as a clustering model for networks. Building upon this further, community …
Mining latent user community for tag-based and content-based search in social media
In recent years, there has been a proliferation of collaborative tagging systems in Web 2.0
communities. With the increasingly large amount of social data, how to manage and …
communities. With the increasingly large amount of social data, how to manage and …
SBTM: topic modeling over short texts
With the rapid development of social media services such as Twitter, Sina Weibo and so
forth, short texts are becoming more and more prevalent. However, inferring topics from …
forth, short texts are becoming more and more prevalent. However, inferring topics from …
Identifying influential user communities on the social network
Nowadays social network services have been popularly used in electronic commerce
systems. Users on the social network can develop different relationships based on their …
systems. Users on the social network can develop different relationships based on their …