ABSTRACT
With the increase of data collected and computation power available, modern recommender systems are ever facing new challenges. While complex models are developed in academia, industry practice seems to focus on relatively simple techniques that can deal with the magnitude of data and the need to distribute the computation. The workshop on large-scale recommender systems (LSRS) is a meeting place for industry and academia to discuss the current and future challenges of applied large-scale recommender systems.
Index Terms
- LSRS'17: Workshop on Large-Scale Recommender Systems
Recommendations
LSRS'16: Workshop on Large-Scale Recommender Systems
RecSys '16: Proceedings of the 10th ACM Conference on Recommender SystemsWith the increase of data collected and computation power available, modern recommender systems are ever facing new challenges. While complex models are developed in academia, industry practice seems to focus on relatively simple techniques that can ...
LSRS'15: Workshop on Large-Scale Recommender Systems
RecSys '15: Proceedings of the 9th ACM Conference on Recommender SystemsWith the increase of data collected and computation power available, modern recommender systems are ever facing new challenges. While complex models are developed in academia, industry practice seems to focus on relatively simple techniques that can ...
First workshop on large-scale recommender systems: research and best practice(LSRS 2013)
RecSys '13: Proceedings of the 7th ACM conference on Recommender systemsWith the increase of data collected and computation power available, modern recommender systems are ever facing new challenges. While complex models are developed in academia, industry practice seems to focus on relatively simple techniques that can ...
Comments