Lukas Eberhard

According to our database, Lukas Eberhard authored at least 11 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Computing recommendations from free-form text.

Lukas Eberhard, Kristina Popova, Simon Walk, Denis Helic

Expert Syst. Appl., February, 2024

Large Language Models as Narrative-Driven Recommenders.

Lukas Eberhard, Thorsten Ruprechter, Denis Helic

CoRR, 2024

2020

Tell Me What You Want: Embedding Narratives for Movie Recommendations.

Lukas Eberhard, Simon Walk, Denis Helic

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

2019

Predicting trading interactions in an online marketplace through location-based and online social networks.

Lukas Eberhard, Christoph Trattner, Martin Atzmueller

Inf. Retr. J., 2019

Evaluating narrative-driven movie recommendations on Reddit.

Lukas Eberhard, Simon Walk, Lisa Posch, Denis Helic

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

2018

Investigating Helpfulness of Video Game Reviews on the Steam Platform.

Lukas Eberhard, Patrick Kasper, Philipp Koncar, Christian Gütl

Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

2016

Recommending Sellers to Buyers in Virtual Marketplaces Leveraging Social Information.

Lukas Eberhard, Christoph Trattner

Proceedings of the 25th International Conference on World Wide Web, 2016

Understanding the Impact of Weather for POI Recommendations.

Christoph Trattner, Alexander Oberegger, Lukas Eberhard, Denis Parra, Leandro Balby Marinho

Proceedings of the Workshop on Recommenders in Tourism co-located with 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

2014

Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace.

Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho

CoRR, 2014

Who will trade with whom?: predicting buyer-seller interactions in online trading platforms through social networks.

Christoph Trattner, Denis Parra, Lukas Eberhard, Xidao Wen

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces.

Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho

Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013