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RECSYS
2015
ACM
8 years 7 months ago
Cross-Document Search Engine For Book Recommendation
A new combination of multiple Information Retrieval approaches are proposed for book recommendation based on complex users’ queries. We used different theoretical retrieval mod...
Chahinez Benkoussas, Patrice Bellot
RECSYS
2015
ACM
8 years 7 months ago
Analysis of User-generated Content for Improving YouTube Video Recommendation
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...
Michele Galli, Davide Feltoni Gurini, Fabio Gaspar...
RECSYS
2015
ACM
8 years 7 months ago
30Music Listening and Playlists Dataset
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...
RECSYS
2015
ACM
8 years 7 months ago
"Where Far Can Be Close": Finding Distant Neighbors In Recommender Systems
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...
RECSYS
2015
ACM
8 years 7 months ago
Predicting Personality Traits with Instagram Pictures
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 ...
Bruce Ferwerda, Markus Schedl, Marko Tkalcic
RECSYS
2015
ACM
8 years 7 months ago
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
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...
RECSYS
2015
ACM
8 years 7 months ago
Listener-Inspired Automated Music Playlist Generation
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 ...
Andreu Vall
RECSYS
2015
ACM
8 years 7 months ago
Recommender Systems for the People - Enhancing Personalization in Web Augmentation
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...
RECSYS
2015
ACM
8 years 7 months ago
Measuring the Concentration Reinforcement Bias of Recommender Systems
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 ...
RECSYS
2015
ACM
8 years 7 months ago
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems
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...
Emanuel Lacic, Dominik Kowald, Matthias Traub, Gra...