Sebastian AmenabarRecommending places based on social mediaRecSys Week 16: An overview on some methods used in the Point-Of-Interest recommendation. A commentary on A Survey of Point-of-Interest…Nov 20, 2017Nov 20, 2017
Sebastian AmenabarSeeing a Recommendation Problem as a graphRecSys Week 12: Generate recommendations based on which new connections will appear. A commentary on The link-prediction problem for social…Oct 30, 2017Oct 30, 2017
Sebastian AmenabarA shallow look at Active LearningRecSys Week 11: A short contextualization to Active Learning for Recommender Systems. A commentary on A survey of active learning in…Oct 23, 2017Oct 23, 2017
Sebastian AmenabarMachines for the winRecSys Week 8: A generalized method for Factorization Recommender Systems. A commentary on Factorization Machines.Oct 2, 2017Oct 2, 2017
Sebastian AmenabarA brief description of Contextual FactorsRecSys Week 7: How are context factors described when used in a recommender system. A commentary on Context-Aware Recommender Systems.Sep 25, 2017Sep 25, 2017
Sebastian AmenabarGimme some of everythingRecSys Week 6: Building hybrid recommender systems that take advantage of the multiple benefits in different recommender systems. A…Sep 20, 2017Sep 20, 2017
Sebastian AmenabarA kind of Content-Based Recommender SystemRecSys Week 5: Incorporating item-tagging to find similarities between different users. A commentary on Collaborative filtering for social…Sep 11, 2017Sep 11, 2017
Sebastian AmenabarGetting deeper in the itemsRecSys Week 5: Including more information when making recommendations. A commentary on Content-Based Recommendation SystemsSep 10, 2017Sep 10, 2017
Sebastian AmenabarWith the clicks you makeRecSys Week 4: A new approach using implicit feedback for building recommendations. A commentary on Collaborative Filtering for Implicit…Sep 4, 2017Sep 4, 2017
Sebastian AmenabarMore than a bunch of starsRecSys Week 3: A recommender system that builds a characterization of the users and the items.Aug 28, 2017Aug 28, 2017