rival is a recommender system evaluation toolkit.

Joined February 2014
Is your research using RiVal? Add a link to your work in our wiki j.mp/2iyxu80 #recsys #informationretrieval #MachineLearning
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If your #recsys2017 paper uses RiVal, let us know! //cc @LensKitRS :)
Started working on your #RecSys2017 or #UMAP2017 #recsys papers? Consider using RiVal to evaluate your approach j.mp/2gpvQ95
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Any #recsys students looking to do an interesting #gsoc2016 project? Ping us. #gsoc
Did you use @RivalRec in your #recsys2015 paper, let us know. #recsys
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If you’re using @RivalRec in your #recsys2015 work, let us know j.mp/1udcDpC
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RiVal v. 0.2 has been released j.mp/1UsA1MW Binaries will be available on Maven Central shortly #recsys
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Added @RivalRec to List of Recommender Systems (maori.geek.nz/post/list_of_r…) under benchmarking rival.recommenders.net/ #recsys
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Non-transparent recommender system evaluation leads to misleading results bit.ly/1ByQfZL
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Working on a #recsys2015 paper? Consider using @RivalRec for your evaluation j.mp/1udcDpC #recsys
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We will be re-licensing #RiVal. Add your comments in the open issue on github j.mp/15v8yG7 #recsys
Well hello @ercim_news :-) @abellogin @RivalRec #recsys ercim-news.ercim.eu/en99/spe… – at Amsterdam, The Netherlands
Reproducibility requirements now discussed at #redd2014 It seems clear that papers w/ public vs private datasets are different #recsys2014
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Could ever @RivalRec be an open source alternative to XLNT #LinkedIn's internal platform? #redd2014 #recsys2014 engineering.linkedin.com/ab-…