If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Lukas Eberhard is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Supervised learning Engineering & Materials Science
social network Social Sciences
Unsupervised learning Engineering & Materials Science
Recommender systems Engineering & Materials Science
interaction Social Sciences
Values Social Sciences
learning method Social Sciences
learning Social Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2018

  • 4 Conference contribution
  • 1 Chapter
  • 1 Article

Investigating Helpfulness of Video Game Reviews on the Steam Platform

Eberhard, L., Kasper, P., Koncar, P. & Gütl, C., 2018, 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS). Institute of Electrical and Electronics Engineers, p. 43-50

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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

Eberhard, L., Trattner, C. & Atzmueller, M., 9 Jul 2018, In : Information Retrieval Journal. p. 1-38 38 p.

Research output: Contribution to journalArticleResearchpeer-review

Supervised learning
social network
Unsupervised learning
Recommender systems
interaction

Recommending Sellers to Buyers in Virtual Marketplaces Leveraging Social Information

Eberhard, L. & Trattner, C., 2016, Proceedings of the 25th International Conference Companion on World Wide Web.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File

Understanding the Impact of Weather for POI Recommendations

Trattner, C., Oberegger, A., Eberhard, L., Parra, D. & Balby Marinho, L., 2016, Proceedings of the ACM RecSys Workshop on Recommenders in Tourism (RecTour).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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

Lacic, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D. & Balby Marinho, L., 2015, MSM-MUSE Post-Proceedings. Springer, p. ---

Research output: Chapter in Book/Report/Conference proceedingChapterResearch

Open Access
File