Matthias Braunhofer

Orcid: 0000-0002-3848-7032

According to our database1, Matthias Braunhofer authored at least 24 papers between 2011 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2018
User Preference Elicitation, Rating Sparsity and Cold Start.
Proceedings of the Collaborative Recommendations, 2018

2017
Selective contextual information acquisition in travel recommender systems.
J. Inf. Technol. Tour., 2017

2016
Alleviating the new user problem in collaborative filtering by exploiting personality information.
User Model. User Adapt. Interact., 2016

Recommendations with Optimal Combination of Feature-Based and Item-Based Preferences.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Context-aware User Interaction for Mobile Recommender Systems.
Proceedings of the Late-breaking Results, 2016

Learning the Popularity of Items for Mobile Tourist Guides.
Proceedings of the Workshop on Recommenders in Tourism co-located with 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

A User Interface Concept for Context-Aware Recommender Systems.
Proceedings of the Mensch und Computer 2016, 2016

Contextual Information Elicitation in Travel Recommender Systems.
Proceedings of the Information and Communication Technologies in Tourism 2016, 2016

2015
Parsimonious and Adaptive Contextual Information Acquisition in Recommender Systems.
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2015

A Context-Aware Model for Proactive Recommender Systems in the Tourism Domain.
Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2015

User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System.
Proceedings of the Information and Communication Technologies in Tourism 2015, 2015

2014
Techniques for cold-starting context-aware mobile recommender systems for tourism.
Intelligenza Artificiale, 2014

STS: A Context-Aware Mobile Recommender System for Places of Interest.
Proceedings of the Posters, 2014

Hybrid Solution of the Cold-Start Problem in Context-Aware Recommender Systems.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Switching hybrid for cold-starting context-aware recommender systems.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Hybridisation techniques for cold-starting context-aware recommender systems.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems.
Proceedings of the Learning and Collaboration Technologies. Technology-Rich Environments for Learning and Collaboration, 2014

Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management.
Proceedings of the Information and Communication Technologies in Tourism 2014, 2014

Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender System.
Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

2013
Location-aware music recommendation.
Int. J. Multim. Inf. Retr., 2013

Cold-Start Management with Cross-Domain Collaborative Filtering and Tags.
Proceedings of the E-Commerce and Web Technologies - 14th International Conference, 2013

Personality-Based Active Learning for Collaborative Filtering Recommender Systems.
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

STS: Design of Weather-Aware Mobile Recommender Systems in Tourism.
Proceedings of the First International Workshop on Intelligent User Interfaces: Artificial Intelligence meets Human Computer Interaction (AI*HCI 2013) A workshop of the XIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2011
Recommending music for places of interest in a mobile travel guide.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011


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