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Looking for a #MLOSS project to contribute to? Check out the list of todo’s for #RiVal j.mp/14WsOQ4 #recsys #machinelearning
Is your research using RiVal? Add a link to your work in our wiki j.mp/2iyxu80 #recsys #informationretrieval #MachineLearning
Started working on your #RecSys2017 or #UMAP2017 #recsys papers? Consider using RiVal to evaluate your approach j.mp/2gpvQ95
Into #recsys and looking for something to work on? Check out the open issues in RiVal and contribute j.mp/14WsOQ4
RiVal v. 0.2 has been released
j.mp/1UsA1MW Binaries will be available on Maven Central shortly #recsys
Got spare time? Want to work on #mloss? Have a look at the open issues in @RivalRec j.mp/14WsOQ4 #recsys #machinelearning #oss
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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
Looking for a #mloss project to contribute to? Check out the issues and get started by claiming one. j.mp/14WsOQ4 #recsys
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Well hello @ercim_news :-) @abellogin @RivalRec #recsys ercim-news.ercim.eu/en99/spe… – at Amsterdam, The Netherlands
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Reproducibility requirements now discussed at #redd2014 It seems clear that papers w/ public vs private datasets are different #recsys2014
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Yelp's MOE + @RivalRec for comparable & fully optimized #recsys results? #recsys2014 github.com/Yelp/MOE github.com/recommenders/riva…
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Could ever @RivalRec be an open source alternative to XLNT #LinkedIn's internal platform? #redd2014 #recsys2014 engineering.linkedin.com/ab-…







