Towards a highly effective and robust Web credibility evaluation system

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Finding relevant content is one of the core activities of users interacting with a content repository, be it knowledge workers using an organizational knowledge management system at a workplace or self-regulated learners collaborating in a learning environ ...

In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of such actions reveal people's preferences towards online content such as news or products. These traces often res ...

Modern technologies enable us to record sequences of online user activity at an unprecedented scale. Although such activity logs are abundantly available, most approaches to recommender systems are based on the rating-prediction paradigm, ignoring temporal ...

Background: Wikipedia, the world's largest and most popular encyclopedia is an indispensable source of chemistry information. It contains among others also entries for over 15,000 chemicals including metabolites, drugs, agrochemicals and industrial chemica ...

This paper introduces a new dataset and compares several methods for the recommendation of non-fiction audio visual material, namely lectures from the TED website. The TED dataset contains 1,149 talks and 69,023 profiles of users, who have made more than 1 ...

Adaptive streaming addresses the increasing and heterogenous demand of multimedia content over the Internet by offering several encoded versions for each video sequence. Each version (or representation) has a different resolution and bit rate, aimed at a s ...

Group recommender systems suggest items of interest to a group of people. Traditionally, group recommenders provide recommendations by aggregation the group membersâ preferences. Nowadays, there is a trend of decentralized group recommendation process th ...

The upsurge in the number of web users over the last two decades has resulted in a significant growth of online information. This information growth calls for recommenders that personalize the in- formation proposed to each individual user. Nevertheless, p ...

Towards a highly effective and robust Web credibility evaluation system

Chattez avec Graph Search

Combining Content Analytics and Activity Tracking to Identify User Interests and Enable Knowledge Discovery

Learning Explainable User Sentiment and Preferences for Information Filtering

Collaborative Recurrent Neural Networks for Dynamic Recommender Systems

Wikipedia Chemical Structure Explorer: substructure and similarity searching of molecules from Wikipedia

Combining Content with User Preferences for Non-Fiction Multimedia Recommendation: A Study on TED Lectures

Optimal Selection of Adaptive Streaming Representations

Social Interface and Interaction Design for Group Recommender Systems

D2P: Distance-Based Differential Privacy in Recommenders