Neural Collaborative Filtering And Autoencoder Enabled Deep Learning Models For Recommender Systems
The Neural Collaborative Filtering And Autoencoder Enabled Deep Learning Models For Recommender Systems Project Material
Chapter One
1.0 INTRODUCTION
This chapter introduces the Neural Collaborative Filtering And Autoencoder Enabled Deep Learning Models For Recommender Systems and its relevance, states the research problems, research questions, and objectives, provides a background of the study, and should also include the research hypothesis.
Chapter Two: Literature Review
In this chapter, Neural Collaborative Filtering And Autoencoder Enabled Deep Learning Models For Recommender Systems is critically examined through a review of relevant literature that helps explain the research problem and acknowledges the contribution of scholars who had previously contributed immensely to similar research. The chapter intends to deepen the understanding of the study and close the perceived gaps …
SIMILAR PROJECT TOPICS
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