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2010 – 2019
- 2018
[p2]Dietmar Jannach
, Lukas Lerche, Markus Zanker:
Recommending Based on Implicit Feedback. Social Information Access 2018: 510-569- 2017
- [j6]Michael Jugovac, Dietmar Jannach, Lukas Lerche:
Efficient optimization of multiple recommendation quality factors according to individual user tendencies. Expert Syst. Appl. 81: 321-331 (2017) - [j5]Dietmar Jannach, Malte Ludewig, Lukas Lerche:
Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts. User Model. User Adapt. Interact. 27(3-5): 351-392 (2017) - [c10]Dietmar Jannach, Iman Kamehkhosh, Lukas Lerche:
Leveraging multi-dimensional user models for personalized next-track music recommendation. SAC 2017: 1635-1642 - [c9]Dietmar Jannach, Lukas Lerche:
Offline performance vs. subjective quality experience: a case study in video game recommendation. SAC 2017: 1649-1654 - 2016
- [j4]Dietmar Jannach, Michael Jugovac, Lukas Lerche:
Supporting the Design of Machine Learning Workflows with a Recommendation System. ACM Trans. Interact. Intell. Syst. 6(1): 8:1-8:35 (2016) - [c8]Iman Kamehkhosh, Dietmar Jannach, Lukas Lerche:
Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals. UMAP (Extended Proceedings) 2016 - [c7]Lukas Lerche, Dietmar Jannach, Malte Ludewig:
On the Value of Reminders within E-Commerce Recommendations. UMAP 2016: 27-35 - [p1]Lukas Lerche:
Implizites Feedback in Empfehlungssystemen. Ausgezeichnete Informatikdissertationen 2016: 199-208 - 2015
- [j3]Dietmar Jannach, Lukas Lerche, Michael Jugovac:
Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation. i-com 14(1): 29-39 (2015) - [j2]Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Michael Jugovac:
What recommenders recommend: an analysis of recommendation biases and possible countermeasures. User Model. User Adapt. Interact. 25(5): 427-491 (2015) - [c6]Dietmar Jannach, Michael Jugovac, Lukas Lerche:
Adaptive Recommendation-based Modeling Support for Data Analysis Workflows. IUI 2015: 252-262 - [c5]Dietmar Jannach, Lukas Lerche, Michael Jugovac:
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals. RecSys 2015: 211-218 - [c4]Dietmar Jannach, Lukas Lerche, Michael Jugovac:
Item Familiarity Effects in User-Centric Evaluations of Recommender Systems. RecSys Posters 2015 - [c3]Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh:
Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks. RecSys 2015: 187-194 - 2014
- [c2]Lukas Lerche, Dietmar Jannach:
Using graded implicit feedback for bayesian personalized ranking. RecSys 2014: 353-356 - 2013
- [j1]Dietmar Jannach, Lukas Lerche:
Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen. HMD Prax. Wirtsch. 293: 34-44 (2013) - [c1]Dietmar Jannach, Lukas Lerche, Fatih Gedikli, Geoffray Bonnin:
What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects. UMAP 2013: 25-37
Coauthor Index
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