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40 Algorithms Every Programmer Should Know

You're reading from  40 Algorithms Every Programmer Should Know

Product type Book
Published in Jun 2020
Publisher Packt
ISBN-13 9781789801217
Pages 382 pages
Edition 1st Edition
Languages
Author (1):
Imran Ahmad Imran Ahmad
Profile icon Imran Ahmad
Toc

Table of Contents (19) Chapters close

Preface 1. Section 1: Fundamentals and Core Algorithms
2. Overview of Algorithms 3. Data Structures Used in Algorithms 4. Sorting and Searching Algorithms 5. Designing Algorithms 6. Graph Algorithms 7. Section 2: Machine Learning Algorithms
8. Unsupervised Machine Learning Algorithms 9. Traditional Supervised Learning Algorithms 10. Neural Network Algorithms 11. Algorithms for Natural Language Processing 12. Recommendation Engines 13. Section 3: Advanced Topics
14. Data Algorithms 15. Cryptography 16. Large-Scale Algorithms 17. Practical Considerations 18. Other Books You May Enjoy

Types of recommendation engines

Generally, there are three different types of recommendation engines:

  • Content-based recommendation engines

  • Collaborative filtering engines

  • Hybrid recommendation engines

Content-based recommendation engines

The basic idea of the content-based recommendation engine is to suggest items similar to those in which the user has preceding shown interest. The effectiveness of content-based recommendation engines is dependent on our ability to quantify the similarity of an item to others.

Let's look into the following diagram. If User 1 has read Doc 1, then we can recommend Doc 2 to the user, which is similar to Doc 1:

Now, the problem is how to determine which items are similar to each other...

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