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Found 3 papers, 1 papers with code
Multi-stage Ensemble Model for Cross-market Recommendation
This paper describes the solution of our team PolimiRank for the WSDM Cup 2022 on cross-market recommendation.
On the instability of embeddings for recommender systems: the case of Matrix Factorization
In this paper we question the reliability of the embeddings learned by Matrix Factorization (MF).
A novel graph-based model for hybrid recommendations in cold-start scenarios
Some techniques to optimize performance of this type of approaches have been studied in recent past.
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