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Introduction
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Classroom Contents
Using Text Embedding Algorithms in Recommender Systems
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- 1 Introduction
- 2 About the company
- 3 Topics
- 4 NLP
- 5 Voice Assistants
- 6 ManMachine Communication
- 7 Natural Language Processing
- 8 Bag of Words Model
- 9 Two Solution Hypothesis
- 10 SIBO Architecture
- 11 Collaborative vs ContentBased Filtering
- 12 rhetorical question
- 13 perspective
- 14 sequences of words
- 15 Aggregation
- 16 Notebook
- 17 Data
- 18 Recommendations
- 19 Problems
- 20 Summary
