Survey on social tagging techniques

M Gupta, R Li, Z Yin, J Han - ACM Sigkdd Explorations Newsletter, 2010 - dl.acm.org
Social tagging on online portals has become a trend now. It has emerged as one of the best
ways of associating metadata with web objects. With the increase in the kinds of web objects …

[图书][B] Recommender systems

CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

A survey on tag recommendation methods

FM Belém, JM Almeida… - Journal of the Association …, 2017 - Wiley Online Library
Tags (keywords freely assigned by users to describe web content) have become highly
popular on Web 2.0 applications, because of the strong stimuli and easiness for users to …

[图书][B] An introduction to social network data analytics

CC Aggarwal - 2011 - Springer
The advent of online social networks has been one of the most exciting events in this
decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have …

Fast approximate energy minimization via graph cuts

Y Boykov, O Veksler, R Zabih - IEEE Transactions on pattern …, 2001 - ieeexplore.ieee.org
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. A
common constraint is that the labels should vary smoothly almost everywhere while …

Latent dirichlet allocation for tag recommendation

R Krestel, P Fankhauser, W Nejdl - … of the third ACM conference on …, 2009 - dl.acm.org
Tagging systems have become major infrastructures on the Web. They allow users to create
tags that annotate and categorize content and share them with other users, very helpful in …

Dynamically expandable graph convolution for streaming recommendation

B He, X He, Y Zhang, R Tang, C Ma - … of the ACM Web Conference 2023, 2023 - dl.acm.org
Personalized recommender systems have been widely studied and deployed to reduce
information overload and satisfy users' diverse needs. However, conventional …

Laplacian sparse coding, hypergraph laplacian sparse coding, and applications

S Gao, IWH Tsang, LT Chia - IEEE Transactions on Pattern …, 2012 - ieeexplore.ieee.org
Sparse coding exhibits good performance in many computer vision applications. However,
due to the overcomplete codebook and the independent coding process, the locality and the …

Music recommendation by unified hypergraph: combining social media information and music content

J Bu, S Tan, C Chen, C Wang, H Wu, L Zhang… - Proceedings of the 18th …, 2010 - dl.acm.org
Acoustic-based music recommender systems have received increasing interest in recent
years. Due to the semantic gap between low level acoustic features and high level music …

Learning optimal ranking with tensor factorization for tag recommendation

S Rendle, L Balby Marinho, A Nanopoulos… - Proceedings of the 15th …, 2009 - dl.acm.org
Tag recommendation is the task of predicting a personalized list of tags for a user given an
item. This is important for many websites with tagging capabilities like last. fm or delicious. In …