Social network polluting contents detection through deep learning techniques
F Martinelli, F Mercaldo… - 2019 International Joint …, 2019 - ieeexplore.ieee.org
Nowadays social networks are widespread used not only to enable users to share
comments with other users but also as tool from which is possible to extract knowledge. As a …
comments with other users but also as tool from which is possible to extract knowledge. As a …
< a, v>-spear: A new method for expert based recommendation systems
Recommendation systems are based on a fast and effective personalized mechanism to
provide items relevant to users. In this article, an expert-based approach for …
provide items relevant to users. In this article, an expert-based approach for …
Folksonomy and tag-based recommender systems in e-learning environments
Collaborative tagging is technique, highly employed in different domains, which is used for
automatic analysis of users' preferences and recommendations. To improve …
automatic analysis of users' preferences and recommendations. To improve …
Co-ranking multiple entities in a heterogeneous network: Integrating temporal factor and users' bookmarks
In this paper, we present a novel approach that models the mutual reinforcing relationship
among papers, authors and publication venues with due cognizance of publication time. We …
among papers, authors and publication venues with due cognizance of publication time. We …
Some research issues of harmful and violent content filtering for social networks in the context of large-scale and streaming data with Apache Spark
In recent years, the interconnecting online resources such as social networks, social video
sharing, blogs, online news, forums, etc. have increased tremendously. Especially, social …
sharing, blogs, online news, forums, etc. have increased tremendously. Especially, social …
Skillrank: Towards a hybrid method to assess quality and confidence of professional skills in social networks
JM Álvarez-Rodríguez, R Colomo-Palacios… - Scientific …, 2015 - Wiley Online Library
The present paper introduces a hybrid technique to measure the expertise of users by
analyzing their profiles and activities in social networks. Currently, both job seekers and …
analyzing their profiles and activities in social networks. Currently, both job seekers and …
[图书][B] Fighting against social spammers on Twitter by using active honeypots
H Zhu - 2014 - search.proquest.com
With the popularity of social network in recent years, the spam problem of this web
application becomes more and more serious. Many methods have been proposed to fight …
application becomes more and more serious. Many methods have been proposed to fight …
Countering web spam of link-based ranking based on link analysis
H Wang, Y Li, K Guo - Procedia Engineering, 2011 - Elsevier
We propose a ranking algorithm to help search engine eliminate spam pages. On the basis
of an initial blacklist containing a small set of identified spam pages, our algorithm evaluates …
of an initial blacklist containing a small set of identified spam pages, our algorithm evaluates …
Social media-based expertise evidence
Social media provides a fertile ground for expertise location. The public nature of the data
supports expertise inference with little privacy infringement and, in addition, presentation of …
supports expertise inference with little privacy infringement and, in addition, presentation of …