Jackson WuBuilding A Collaborative Filtering Model With Decision TreesAs we discussed when we covered basic collaborative filtering methods, completing a ratings matrix is a generalization of a classification…May 27, 2019May 27, 2019
Jackson WuImproving Collaborative Filtering With ClusteringOne of the main problems in applying collaborative filtering techniques is the time complexity of forming the peer groups. Normally, you…May 27, 2019May 27, 2019
Jackson WuContent-Based Recommender Systems and Association RulesSome things just go together — milk and cereal, Florida and strange headlines, etc. Forming association between things is a fundamental…May 27, 2019May 27, 2019
Jackson WuUsing Location as Contextual InformationTime and location are two of the most common contextual dimensions used in recommender systems and there. Like temporally-aware…May 27, 2019May 27, 2019
Jackson WuImproving Collaborative Filtering with Dimensionality ReductionThere are two ways of using dimensionality reduction in recommender systems:May 27, 2019May 27, 2019
Jackson WuContent-Based Recommender Systems: An OverviewContent based systems use item attributes (color, critical reception, etc) to make recommendations to users based on their history of…May 27, 2019May 27, 2019
Jackson WuTypes of Recommender SystemsWe know from Tumas’ article what recommender systems are and why they are important. But what do these recommender systems look like in…May 27, 2019May 27, 2019
Jackson WuKnowledge-Based Recommender Systems: An OverviewSo far, in this series of articles on recommender systems, we’ve talked about different ways of leveraging someone’s rating history to…May 27, 20191May 27, 20191