Matthias Braunhofer

41 Followers

10 SlideShares 41 Followers 38 Followings

10 SlideShares 41 Followers 38 Followings

context-aware recommender systems context acquisition cold-start problem recommender systems active learning hybrid systems travel recommender systems mobile application development contextual information feature selection mobile hybrid system context aware weather tags matrix factorization cross-domain recommendation collaborative filtering

See more

Activity
About

Cold-Start Management with Cross-Domain Collaborative Filtering and Tags

10 years ago • 1902 Views

Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management

10 years ago • 995 Views

Hybrid Solution of the Cold-Start Problem in Context-Aware Recommender Systems

9 years ago • 1843 Views

Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender System

9 years ago • 983 Views

Hybridisation Techniques for Cold-Starting Context-Aware Recommender Systems

9 years ago • 1551 Views

Context-Aware Recommender Systems for Mobile Devices

9 years ago • 2090 Views

Parsimonious and Adaptive Contextual Information Acquisition in Recommender Systems

8 years ago • 530 Views

South Tyrol Suggests - STS

8 years ago • 741 Views

Contextual Information Elicitation in Travel Recommender Systems

8 years ago • 453 Views

Techniques for Context-Aware and Cold-Start Recommendations

7 years ago • 1001 Views

How spotify makes product

Ali Sarrafi • 9 years ago

Algorithmic Music Recommendations at Spotify

Chris Johnson • 10 years ago

10 more lessons learned from building Machine Learning systems - MLConf

Xavier Amatriain • 8 years ago

From Idea to Execution: Spotify's Discover Weekly

Chris Johnson • 8 years ago

Music Recommendations at Scale with Spark

Chris Johnson • 9 years ago

Approximate nearest neighbor methods and vector models – NYC ML meetup

Erik Bernhardsson • 8 years ago

When Attention is not Scarce – Detecting Boredom from Mobile Phone Usage

Martin Pielot • 8 years ago

Interactive Recommender Systems with Netflix and Spotify

Chris Johnson • 8 years ago

Machine Learning to Grow the World's Knowledge

Xavier Amatriain • 8 years ago

40 web design trends in 2015

Equinet Academy • 8 years ago

RecSys'15 presentation

Leandro Balby Marinho • 8 years ago

Interactive Recommender Systems

Roelof van Zwol • 8 years ago

Replicable Evaluation of Recommender Systems

Alejandro Bellogin • 8 years ago

Lean DevOps - Lessons Learned from Innovation-driven Companies

Xavier Amatriain • 8 years ago

MovieTweetings: a movie rating dataset collected from twitter

Simon Dooms • 10 years ago

How Google Works

Eric Schmidt • 9 years ago

Recsys 2014 Keynote: The Value of Better Recommendations - For Businesses, Consumers, Producers, and Society

Neil Hunt • 9 years ago

Qcon SF 2013 - Machine Learning & Recommender Systems @ Netflix Scale

Xavier Amatriain • 10 years ago

Recsys 2014 Tutorial - The Recommender Problem Revisited

Xavier Amatriain • 9 years ago

Tutorial Mahout - Recommendation

Cataldo Musto • 11 years ago

A Top-N Recommender System Evaluation Protocol Inspired by Deployed Systems

Alan Said • 10 years ago

context-aware recommender systems context acquisition cold-start problem recommender systems active learning hybrid systems travel recommender systems mobile application development contextual information feature selection mobile hybrid system context aware weather tags matrix factorization cross-domain recommendation collaborative filtering

See more