Tag-based recommendation
T Bogers - Social Information Access: Systems and Technologies, 2018 - Springer
Social tagging is an information classification paradigm where the users themselves are
given the power to describe and categorize content for their own purposes using tags. The …
given the power to describe and categorize content for their own purposes using tags. The …
Recommendation system based on semantic scholar mining and topic modeling on conference publications
Recommendation systems are of great assistance to online in computer science in various
aspects of the Internet portals such as social networks and library websites. There are …
aspects of the Internet portals such as social networks and library websites. There are …
An item orientated recommendation algorithm from the multi-view perspective
In the traditional recommendation algorithms, items are recommended to users on the basis
of users' preferences to improve selling efficiency, which however cannot always raise …
of users' preferences to improve selling efficiency, which however cannot always raise …
Tag recommendation method in folksonomy based on user tagging status
A folksonomy consists of three basic entities, namely users, tags and resources. This kind of
social tagging system is a good way to index information, facilitate searches and navigate …
social tagging system is a good way to index information, facilitate searches and navigate …
Pairwise metric learning with angular margin for tag recommendation
Z Fei, J Wang, B Huang, X Xiang - IEEE Access, 2023 - ieeexplore.ieee.org
The users on the Internet have been growing exponentially, and tag recommendation can
automatically provide users with a selection of tags of interest to meet their personalized …
automatically provide users with a selection of tags of interest to meet their personalized …
Top-k followee recommendation over microblogging systems by exploiting diverse information sources
H Chen, X Cui, H Jin - Future Generation Computer Systems, 2016 - Elsevier
Followee recommendation plays an important role in information sharing over
microblogging platforms. We frame this problem as a top-k ranking in collaborative filtering …
microblogging platforms. We frame this problem as a top-k ranking in collaborative filtering …
Natural language processing via lda topic model in recommendation systems
Today, Internet is one of the widest available media worldwide. Recommendation systems
are increasingly being used in various applications such as movie recommendation, mobile …
are increasingly being used in various applications such as movie recommendation, mobile …
[PDF][PDF] A New Hybrid Popular Model for Personalized Tag Recommendation.
J Wang, N Luo - J. Comput., 2016 - jcomputers.us
Tagging systems have been playing an important role in many websites during the web2. 0
age. Users use a social tagging system to effectively mark web resources with personalized …
age. Users use a social tagging system to effectively mark web resources with personalized …
Sentiment analysis for online reviews using an author-review-object model
In this paper, we propose a probabilistic generative model for online review sentiment
analysis, called joint Author-Review-Object Model (ARO). The users, objects and reviews …
analysis, called joint Author-Review-Object Model (ARO). The users, objects and reviews …
Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences
H Jelodar, Y Wang, M Rabbani, R Zhao… - arXiv preprint arXiv …, 2018 - arxiv.org
Recommendation systems have an important place to help online users in the internet
society. Recommendation Systems in computer science are of very practical use these days …
society. Recommendation Systems in computer science are of very practical use these days …