Publication | Closed Access
Neural Survival Recommender
155
Citations
33
References
2017
Year
Unknown Venue
EngineeringMachine LearningBehavior PredictionContent RecommendationCommunicationUser RetentionComputational Social ScienceData ScienceManagementUser Behavior ModelingPredictive AnalyticsKnowledge DiscoveryUser ExperiencePersonalized SearchInformation ManagementCold-start ProblemPersonalized AnalyticsSocial ComputingInteractive MarketingNeural Survival RecommenderHuman-computer InteractionNeuroscienceDecision ScienceFuture User ActivityCollaborative Filtering
The ability to predict future user activity is invaluable when it comes to content recommendation and personalization. For instance, knowing when users will return to an online music service and what they will listen to increases user satisfaction and therefore user retention.
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