Dec 30, 2015 · In more detail, we propose recommendation algorithms relying exclusively on implicit feedback and leveraging context information. An extensive ...

In more detail, we propose recommendation algorithms relying exclusively on implicit feedback and leveraging context information. An extensive evaluation on a ...

Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback ... A Framework for Linear TV Recommendation by Leveraging Implicit Feedback.

Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback. P. Cremonesi, P. Modica, R. Pagano, E. Rabosio, and L. Tanca.

Get details about the chapter of Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback from book E-Commerce and Web ...

Method for Context-Aware Collaborative Filtering comprising: a) performing collaborative filtering introducing a user-item-context interaction as a ...

In this paper, we make the first attempt to design a personalized TV program recommendation system based on tensor learning that leverages temporal context ...

Nov 3, 2021 · In this paper, we propose a personalised context-aware re-ranking algorithm (p-CAR) in IoT. Our primary purpose is to improve the recommender performance from ...

A personalized TV system based on TV-Any time metadata model is proposed, characterized by recommending program with high preferences that are automatically ...

In this paper, we propose a personalized program recommender for smart TVs using memory-based collaborative filtering with a novel similarity method that is ...