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Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations.

, , , , and . RecSys, page 184-192. ACM, (2017)

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Distributed Heuristic Forward Search for Multi-agent Planning., and . J. Artif. Intell. Res., (2014)Distributed Heuristic Forward Search for Multi-Agent Systems., and . CoRR, (2013)Tunneling and Decomposition-Based State Reduction for Optimal Planning., , and . ECAI, volume 242 of Frontiers in Artificial Intelligence and Applications, page 624-629. IOS Press, (2012)Multi-agent A* for parallel and distributed systems., and . AAMAS, page 1265-1266. IFAAMAS, (2012)Merge-and-Shrink Abstraction: A Method for Generating Lower Bounds in Factored State Spaces., , , and . J. ACM, 61 (3): 16:1-16:63 (2014)Computing Perfect Heuristics in Polynomial Time: On Bisimulation and Merge-and-Shrink Abstraction in Optimal Planning., , and . IJCAI, page 1983-1990. IJCAI/AAAI, (2011)Serving Ads to "Yahoo Answers" Occasional Visitors., , , , and . WWW (Companion Volume), page 1257-1262. ACM, (2015)Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations., , , , and . RecSys, page 184-192. ACM, (2017)A general, fully distributed multi-agent planning algorithm., , and . AAMAS, page 1323-1330. IFAAMAS, (2010)Watch-It-Next: A Contextual TV Recommendation System., , , , , and . ECML/PKDD (3), volume 9286 of Lecture Notes in Computer Science, page 180-195. Springer, (2015)