General framework to evaluate unlinkability in biometric template protection systems

M Gomez-Barrero, J Galbally… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The wide deployment of biometric recognition systems in the last two decades has raised
privacy concerns regarding the storage and use of biometric data. As a consequence, the …

Application technology opportunity discovery from technology portfolios: Use of patent classification and collaborative filtering

Y Park, J Yoon - Technological Forecasting and Social Change, 2017 - Elsevier
Technology opportunity discovery (TOD), customized to a firm's current technology
capability, can be a good starting point to formulate a technology strategy for a firm that lacks …

Identifying product opportunities using collaborative filtering-based patent analysis

J Yoon, W Seo, BY Coh, I Song, JM Lee - Computers & Industrial …, 2017 - Elsevier
One practical and low-risk approach to product planning for technology-based firms is to
identify application products based on their existing product portfolios. Previous studies …

Baydnn: Friend recommendation with bayesian personalized ranking deep neural network

D Ding, M Zhang, SY Li, J Tang, X Chen… - Proceedings of the 2017 …, 2017 - dl.acm.org
Friendship is the cornerstone to build a social network. In online social networks, statistics
show that the leading reason for user to create a new friendship is due to recommendation …

A park or a highway: Overcoming tensions in designing for socio-emotional and informational needs in online health communities

D Nakikj, L Mamykina - Proceedings of the 2017 ACM conference on …, 2017 - dl.acm.org
Over the years online health communities (OHCs) have become an important source of
information regarding health management and a place for social interaction and emotional …

The recommendation system of micro-blog topic based on user clustering

S Zhang, S Zhang, NY Yen, G Zhu - Mobile Networks and Applications, 2017 - Springer
As a type of crowdsensing media, micro-blog has become an important crowdsensing place
for a lot of real-time information dissemination and discussion. With the increasing of micro …

A social recommender system by combining social network and sentiment similarity: A case study of healthcare

D Yang, C Huang, M Wang - Journal of Information Science, 2017 - journals.sagepub.com
Social recommender systems aim to support user preferences and help users make better
decisions in social media. The social network and the social context are two vital elements in …

Personalized recommendation for online social networks information: Personal preferences and location-based community trends

S Khater, D Gračanin… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Microblogs, such as Twitter, are a way for users to express their opinions or share pieces of
interesting news by posting relatively short messages (corpus) compared with the regular …

Crowdsourced time-sync video tagging using semantic association graph

W Yang, N Ruan, W Gao, K Wang… - … on Multimedia and …, 2017 - ieeexplore.ieee.org
Time-sync comments reveal a new way of extracting the online video tags. However, such
time-sync comments have lots of noises due to users' diverse comments, introducing great …

Improving news articles recommendations via user clustering

C Bouras, V Tsogkas - International Journal of Machine Learning and …, 2017 - Springer
Although commonly only item clustering is suggested by Web mining techniques for news
articles recommendation systems, one of the various tasks of personalized recommendation …