In recommender systems, usually, implicit feedback comprises a _______ matrix, while explicit feedback comprises a _______ matrix.dense, sparsesparse, denseIf you are building a recommender system for netflix.com which recommends products leveraging only explicit ratings, then which algorithm would you use?Stochastic Gradient DescentAlternating Least SquaresWhich of the following is a limitation of deep learning (DL)?DL is not capable of modeling high dimensional and highly non-linear functionsDL requires sophisticated feature engineering by expertsDL is generally interpretableDL is extremely data intensive

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Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

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In recommender systems, usually, implicit feedback comprises a _______ matrix, while explicit feedback comprises a _______ matrix.
1. dense, sparse
2. sparse, dense
If you are building a recommender system for netflix.com which recommends products leveraging only explicit ratings, then which algorithm would you use?
1. Stochastic Gradient Descent
2. Alternating Least Squares
Which of the following is a limitation of deep learning (DL)?
1. DL is not capable of modeling high dimensional and highly non-linear functions
2. DL requires sophisticated feature engineering by experts
3. DL is generally interpretable
4. DL is extremely data intensive

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