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Found 5 papers, 1 papers with code
New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution
The goal of recommender systems is to help users find useful items from a large catalog of items by producing a list of item recommendations for every user.
Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting
In this paper, we use a survey data set of game likes to present content based interaction models that generalize into new games, new players, and both new games and players simultaneously.
Generalized vec trick for fast learning of pairwise kernel models
Pairwise learning corresponds to the supervised learning setting where the goal is to make predictions for pairs of objects.
Playtime Measurement with Survival Analysis
Throughout this paper, we illustrate the application of these methods to real world game development problems on the Hipster Sheep mobile game.
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels
We consider the problem of learning regression functions from pairwise data when there exists prior knowledge that the relation to be learned is symmetric or anti-symmetric.
