Recommender systems based on user reviews: the state of the art

L Chen, G Chen, F Wang - User Modeling and User-Adapted Interaction, 2015 - Springer
In recent years, a variety of review-based recommender systems have been developed, with
the goal of incorporating the valuable information in user-generated textual reviews into the …

A collaborative user-centered framework for recommending items in Online Social Networks

F Colace, M De Santo, L Greco, V Moscato… - Computers in Human …, 2015 - Elsevier
Recommender Systems are more and more playing an important role in our life,
representing useful tools helping users to find “what they need” from a very large number of …

Augmenting service recommender systems by incorporating contextual opinions from user reviews

G Chen, L Chen - User Modeling and User-Adapted Interaction, 2015 - Springer
Context-aware recommender systems have been widely investigated in both academia and
industry because they can make recommendations based on a user's current context (eg …

The potential and challenges of Big data-Recommendation systems next level application

FEL Jamiy, A Daif, M Azouazi, A Marzak - arXiv preprint arXiv:1501.03424, 2015 - arxiv.org
The continuous increase of data generated provides enormous possibilities of both public
and private companies. The management of this mass of data or big data will play a crucial …

Analyzing book-related features to recommend books for emergent readers

MS Pera, YK Ng - Proceedings of the 26th acm conference on hypertext …, 2015 - dl.acm.org
We recognize that emergent literacy forms a foundation upon which children will gage their
future reading. It is imperative to motivate young readers to read by offering them appealing …

[PDF][PDF] An adaptive contextual recommender system: A slow intelligence perspective

SK Chang, D Yung, F Colace, L Greco… - Proceedings of the …, 2015 - ksiresearch.org
This paper introduces an Adaptive Context Aware Recommender system based on the Slow
Intelligence approach. The system is made available to the user as an adaptive mobile …

On the use of user-generated content in critiquing recommendation

D Contreras, M Salamó - Artificial Intelligence Research and …, 2015 - ebooks.iospress.nl
User-generated content is any form of content that is created by users of an online system or
service, often made by available via social media websites. Usually, on eCommerce …