# Recommender Systems (Have more than one feature)

**URL:** <https://community.deeplearning.ai/t/recommender-systems-have-more-than-one-feature/662959>\
**Category:** Unsupervised Learning, Recommenders, Reinforcement\
**Tags:** week-module-2\
**Created:** [July 14, 2024, 12:01pm UTC](https://community.deeplearning.ai/t/recommender-systems-have-more-than-one-feature/662959 "2024-07-14T12:01:34Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![Ashraf\_25](https://avatars.discourse-cdn.com/v4/letter/a/c68b51/32.png) [@Ashraf\_25](https://community.deeplearning.ai/u/Ashraf_25)\
**Post date:** [July 14, 2024, 12:01pm UTC](https://community.deeplearning.ai/t/recommender-systems-have-more-than-one-feature/662959/1 "2024-07-14T12:01:34Z")

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Hi, In collaborative filtering algorithm , How can I define the number of features in the lecture there are only two features (Romance & Action movies) , what about if I make a large movie recommender system like Netflix , you know there are more than two types of movies , so How can I handle it?, and Thanks in advance

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**Author:** ![rmwkwok](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/rmwkwok/32/126977_2.png) [@rmwkwok](https://community.deeplearning.ai/u/rmwkwok)\
**Post date:** [July 14, 2024, 1:40pm UTC](https://community.deeplearning.ai/t/recommender-systems-have-more-than-one-feature/662959/2 "2024-07-14T13:40:48Z")

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Hello, @Ashraf_25,

You must be talking about this silde:

 ![image](https://global.discourse-cdn.com/dlai/original/3X/a/6/a6f2abb64b33d07bde0f931dcf6a7c9c24d491fc.jpeg)

As shown, two features corresponds to two values in the weight vector. In other words, if you want N features, you set the weight vector to have N values.

If you watch this lecture again, you will find that, after this slide, all subsequent discussions _ **do not** _ specify the lengths of the weights w and features x, which means that any length is fine, including N.

In the assignment, you will practice a case that is more than 2.

Cheers,  
Raymond

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**Author:** ![Ashraf\_25](https://avatars.discourse-cdn.com/v4/letter/a/c68b51/32.png) [@Ashraf\_25](https://community.deeplearning.ai/u/Ashraf_25)\
**Post date:** [July 14, 2024, 4:42pm UTC](https://community.deeplearning.ai/t/recommender-systems-have-more-than-one-feature/662959/3 "2024-07-14T16:42:53Z")

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Yes, I am talking about  
this lecture in the image.  
Thanks , I got it

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**Author:** ![rmwkwok](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/rmwkwok/32/126977_2.png) [@rmwkwok](https://community.deeplearning.ai/u/rmwkwok)\
**Post date:** [July 15, 2024, 6:35am UTC](https://community.deeplearning.ai/t/recommender-systems-have-more-than-one-feature/662959/4 "2024-07-15T06:35:09Z")

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That’s great!
