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Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design.

, , , , , , and . WWW, page 45-54. ACM, (2015)

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Online Learning for Loss Functions with Memory and Applications to Statistical Arbitrage, , and . CoRR, (2013)Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design., , , , , , and . CoRR, (2014)Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design., , , , , , and . WWW, page 45-54. ACM, (2015)Online Learning for Adversaries with Memory: Price of Past Mistakes., , and . NIPS, page 784-792. (2015)Online Learning for Time Series Prediction., , , and . COLT, volume 30 of JMLR Workshop and Conference Proceedings, page 172-184. JMLR.org, (2013)Heteroscedastic Sequences: Beyond Gaussianity., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 755-763. JMLR.org, (2016)k*-Nearest Neighbors: From Global to Local., and . NIPS, page 4916-4924. (2016)k*-Nearest Neighbors: From Global to Local., and . CoRR, (2017)ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations., , , , , and . RecSys, page 83-90. ACM, (2015)Online Time Series Prediction with Missing Data., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2191-2199. JMLR.org, (2015)