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Malte Ludewig
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2020 – today
- 2021
- [j3]Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach:
Empirical analysis of session-based recommendation algorithms. User Model. User Adapt. Interact. 31(1): 149-181 (2021) - 2020
- [b1]Malte Ludewig:
Advances in session-based and session-aware recommendation. Technical University of Dortmund, Germany, 2020
2010 – 2019
- 2019
- [c9]Malte Ludewig, Dietmar Jannach:
Learning to rank hotels for search and recommendation from session-based interaction logs and meta data. RecSys Challenge 2019: 5:1-5:5 - [c8]Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach:
Performance comparison of neural and non-neural approaches to session-based recommendation. RecSys 2019: 462-466 - [c7]Malte Ludewig, Dietmar Jannach:
User-centric evaluation of session-based recommendations for an automated radio station. RecSys 2019: 516-520 - [i2]Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach:
Empirical Analysis of Session-Based Recommendation Algorithms. CoRR abs/1910.12781 (2019) - 2018
- [j2]Malte Ludewig, Dietmar Jannach:
Evaluation of session-based recommendation algorithms. User Model. User Adapt. Interact. 28(4-5): 331-390 (2018) - [c6]Malte Ludewig, Iman Kamehkhosh, Nick Landia, Dietmar Jannach:
Effective Nearest-Neighbor Music Recommendations. RecSys Challenge 2018: 3:1-3:6 - [i1]Malte Ludewig, Dietmar Jannach:
Evaluation of Session-based Recommendation Algorithms. CoRR abs/1803.09587 (2018) - 2017
- [j1]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) - [c5]Dietmar Jannach, Malte Ludewig:
Investigating Personalized Search in E-Commerce. FLAIRS 2017: 645-650 - [c4]Iman Kamehkhosh, Dietmar Jannach, Malte Ludewig:
A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation. RecTemp@RecSys 2017: 50-56 - [c3]Dietmar Jannach, Malte Ludewig:
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation. RecSys 2017: 306-310 - [c2]Dietmar Jannach, Malte Ludewig:
Determining characteristics of successful recommendations from log data: a case study. SAC 2017: 1643-1648 - 2016
- [c1]Lukas Lerche, Dietmar Jannach, Malte Ludewig:
On the Value of Reminders within E-Commerce Recommendations. UMAP 2016: 27-35
Coauthor Index
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last updated on 2025-01-09 13:13 CET by the dblp team
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