Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Survey on social tagging techniques
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 …
ways of associating metadata with web objects. With the increase in the kinds of web objects …
[KIRJA][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 …
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
A survey on tag recommendation methods
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 …
popular on Web 2.0 applications, because of the strong stimuli and easiness for users to …
[KIRJA][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 …
decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have …
Fast approximate energy minimization via graph cuts
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 …
common constraint is that the labels should vary smoothly almost everywhere while …
Latent dirichlet allocation for tag recommendation
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 …
tags that annotate and categorize content and share them with other users, very helpful in …
Laplacian sparse coding, hypergraph laplacian sparse coding, and applications
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 …
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
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 …
years. Due to the semantic gap between low level acoustic features and high level music …
Dynamically expandable graph convolution for streaming recommendation
Personalized recommender systems have been widely studied and deployed to reduce
information overload and satisfy users' diverse needs. However, conventional …
information overload and satisfy users' diverse needs. However, conventional …
Learning optimal ranking with tensor factorization for tag recommendation
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 …
item. This is important for many websites with tagging capabilities like last. fm or delicious. In …