Essays about: "cold-start prediction"
Found 2 essays containing the words cold-start prediction.
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1. Behavior reflects preference : Mitigating the user cold-start in recommender systems with user telemetry data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recommender Systems are information filtering systems that aim to predict a user’s preference for an item. A central challenge when building a Recommender System is the user cold-start, the integration of new users into the recommendation process. READ MORE
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2. Predicting Swedish News Article Popularity
University essay from Linköpings universitet/Interaktiva och kognitiva systemAbstract : In this work, 132,229 articles from a Swedish news publisher are used to explore news article popularity prediction. Linear-, k-Nearest Neighbor- and Support Vector Regression are evaluated using the two different metrics root mean squared error and R2. The problem is then relaxed into only attempting to rank the articles relative to each other. READ MORE