A new combination of multiple Information Retrieval approaches are proposed for book recommendation based on complex users’ queries. We used different theoretical retrieval mod...
Everyday video-sharing websites such as YouTube collect large amounts of new multimedia resources. Comments left by viewers often provide valuable information to describe sentimen...
We introduce the 30Music dataset1 , a collection of listening and playlists data retrieved from Internet radio stations through Last.fm API. In this paper we describe the creation...
Roberto Turrin, Massimo Quadrana, Andrea Condorell...
Location and its corollary, distance, are critical concepts in social computing. Recommender systems that incorporate location have generally assumed that the utility of locationa...
Vikas Kumar, Daniel Jarratt, Rahul Anand, Joseph A...
Instagram is a popular social networking application, which allows photo-sharing and applying different photo filters to adjust the appearance of a picture. By applying photo ...
Preference-based recommendation systems have transformed how we consume media. By analyzing usage data, these methods uncover our latent preferences for items (such as articles or...
Allison June-Barlow Chaney, David M. Blei, Tina El...
The objective of this PhD research is to deepen the understanding of how people listen to music and construct playlists. We believe that further insights into such mechanisms can ...
Web augmentation techniques allow the adaptation of websites on client side using browser extensions or plug-ins designed to run dedicated user scripts. However, while number and ...
Martin Wischenbart, Sergio Firmenich, Gustavo Ross...
In this paper, we propose new metrics to accurately measure the concentration reinforcement of recommender systems and the enhancement of the “long tail”. We also conduct a co...
Panagiotis Adamopoulos, Alexander Tuzhilin, Peter ...
In this paper, we present work-in-progress on a recommender system based on Collaborative Filtering that exploits location information gathered by indoor positioning systems. This...