---
title: "Discussion on \"Comprehensive Guide to Building Recommendation Engine\" | Hashnode"
description: "Discussion on \"Comprehensive Guide to Building Recommendation Engine\". In fact, we encounter recommendation systems daily, even if we sometimes don't notice them. Their operation is most evident on streaming platforms, such as Netflix. The primary task of these systems is to suggest new content based on shows and movies..."
url: "https://hashnode.com/posts/comprehensive-guide-to-building-recommendation-engine/66aa3eaa9a179c4902113f32"
---

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# [Comprehensive Guide to Building Recommendation Engine](https://hiteshnalamwar.hashnode.dev/comprehensive-guide-to-building-recommendation-engine?utm_source=hashnode&utm_medium=feed)

In fact, we encounter recommendation systems daily, even if we sometimes don't notice them. Their operation is most evident on streaming platforms, such as Netflix. The primary task of these systems is to suggest new content based on shows and movies...

Aug 14, 2023 · 6 min read · hiteshnalamwar.hashnode.dev  
Updated Nov 1, 2024  
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-   [#recommender-systems](https://hashnode.com/tag/recommender-systems)
-   [#netflix](https://hashnode.com/tag/netflix)

## Written by

[Hitesh Sanjay Nalamwar](https://hashnode.com/@HiteshNalamwar)

@HiteshNalamwar

  
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## Responses 1

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[Olanrewaju Oyedele](https://hashnode.com/@olanrewaju798)

[Nov 1, 2024](https://hashnode.com/posts/comprehensive-guide-to-building-recommendation-engine/66aa3eaa9a179c4902113f32/comment/6724b8370fbce01d25f08752)

this is super informative! But hey, I feel like collaborative filtering could get kinda limited with niche items or new users. How would you tackle that?

[Olanrewaju Oyedele](https://hashnode.com/@olanrewaju798)

[Nov 1, 2024](https://hashnode.com/posts/comprehensive-guide-to-building-recommendation-engine/66aa3eaa9a179c4902113f32/comment/6724b8370fbce01d25f08752#reply-6724b8d66e8019ba129c47c1)

[Hitesh Sanjay Nalamwar](https://hashnode.com/@HiteshNalamwar) I see! So it’s like giving new items a ‘safe’ score until there’s enough data. I think the confidence interval thing is interesting but sounds complex. Is it something that could work for smaller sites, too?

[Hitesh Sanjay Nalamwar](https://hashnode.com/@HiteshNalamwar)

[Nov 1, 2024](https://hashnode.com/posts/comprehensive-guide-to-building-recommendation-engine/66aa3eaa9a179c4902113f32/comment/6724b8370fbce01d25f08752#reply-6724b923862fec23b9d000f6)

[Olanrewaju Oyedele](https://hashnode.com/@olanrewaju798) Absolutely, it can be adapted for smaller sites! You’d just need a simplified approach to calculate a baseline average score, maybe even just at the category level. That way, every new item gets a fair start without needing tons of data right away.

[Olanrewaju Oyedele](https://hashnode.com/@olanrewaju798)

[Nov 1, 2024](https://hashnode.com/posts/comprehensive-guide-to-building-recommendation-engine/66aa3eaa9a179c4902113f32/comment/6724b8370fbce01d25f08752#reply-6724b98c62bf3976734a66ef)

makes sense