Abstract
In this demo we present a recommender benchmark framework that serves as an infrastructure for comparing and examining the performance and feasibility of different recommender algorithms on various datasets with a variety of measures. The extendable infrastructure aims to provide easy plugging of novel recommendation-algorithms, datasets and compare their performance using visual tools and metrics with other algorithms in the benchmark. It also aims at generating a WEKA-type workbench [1] for the recommender systems field to enable usage and application of common recommender systems (RS) algorithms for research and practice. The demo movie is available at: http://www.youtube.com/ watch?v=fsDITf6s0WY.
Original language | English |
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Title of host publication | Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011 |
Pages | 353-354 |
Number of pages | 2 |
DOIs | |
State | Published - 2011 |
Event | 5th ACM Conference on Recommender Systems, RecSys 2011 - Chicago, United States Duration: 23 Oct 2011 → 27 Oct 2011 Conference number: 5 https://recsys.acm.org/recsys11/ |
Publication series
Name | RecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems |
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Conference
Conference | 5th ACM Conference on Recommender Systems, RecSys 2011 |
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Country/Territory | United States |
City | Chicago |
Period | 23/10/11 → 27/10/11 |
Internet address |
Keywords
- benchmark
- dataset characteristics.
- datasets
- evaluators
- metrics
- recommendation engines