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Social Preference Ontologies for Enriching User and Item Data in Recommendation Systems
2014
2014 IEEE International Conference on Data Mining Workshop
Some of the known issues of recommendation algorithms are a result of the so called "Cold Start Problem" that is caused by a lack of sufficient data of users, items or the content, which are essential for the calculation of context-sensitive predictions. Along with this comes the "Sparsity Problem" which also exposes the problem of recommendation systems which are being provided with too little information of user feedback such as likes and views. As a consequent collaborative and
doi:10.1109/icdmw.2014.76
dblp:conf/icdm/KraussA14
fatcat:5nwfxo2dmrbinpruytqnwksxu4