Tutorial 1- Weighted hybrid technique for Recommender system

Поділитися
Вставка
  • Опубліковано 15 лис 2024

КОМЕНТАРІ • 55

  • @sushedbubai
    @sushedbubai 5 років тому +3

    This is the simplest yet best video for a beginner who is willing to learn recommender system

  •  5 років тому +8

    nee videos kosame nenu eduruchustunnadi! You're a champ bro!

  • @venkataharikanune
    @venkataharikanune 3 дні тому

    Very informative resource to kickstart learning recommendation systems 😊

  • @satyanarayanad920
    @satyanarayanad920 2 роки тому +2

    Bow down to you Krish...No other go. The best content in your channel 🙌🙏🙏

  • @preritarora8514
    @preritarora8514 4 роки тому +6

    Explanations given by you is fantastic. Please make a series for time series analysis as well.

  • @pratikagarwala2919
    @pratikagarwala2919 5 років тому +6

    Please make a series on data pre processing. Thankyou for such good contents 🙂

  • @Akanniafelumo
    @Akanniafelumo 9 місяців тому

    Krish Naik is the best tutor I have met ever, like God, how???😍😍😍

  • @fullthrottlevishal
    @fullthrottlevishal Рік тому

    there are Nan values in tagline , runtime, release_date, overview columns

  • @AbdallahNabil-le4bw
    @AbdallahNabil-le4bw 2 місяці тому +1

    This is great work. Do you have a project for an e-commerce recommendation system with Fuzzy C-Means and Collaborative Filtering algorithms? Please reply, it is important.

  • @iuhr200
    @iuhr200 7 місяців тому

    Scaling the population and score can affect the original distribution. How to check whether it is scaled right??
    Thanks for the video Krish.

  • @shobitjain9619
    @shobitjain9619 4 роки тому +3

    I am unable to understand this formula of Weighted Rating. I know about Weighted Average and quantiles but it's usage here is out of my reach. Please Help me to Understand this

  • @soumyasrm
    @soumyasrm 5 років тому +1

    Thank you for video... kindly make a series of video

  • @piotrlorenc1762
    @piotrlorenc1762 4 роки тому

    Great video! Simple and easily explainable solution to address cold start problem

  • @shripalmehta
    @shripalmehta Рік тому

    Are there any rules/known facts to more appropriately assign the custom weights, which can thereby enhance the impact? Can you please suggest some research papers to refer to for assigning weights, if we are to build a RecSys for some other use-case?
    P.S. Loved your content, and your style of simplifying the concepts for us to understand easily. Thanks.

  • @fromseegenene9138
    @fromseegenene9138 3 роки тому +1

    How could i integrate my recommendation model with the web which has built in laravel framework?

  • @subhajeetchakraborty1791
    @subhajeetchakraborty1791 3 роки тому

    how can we know which one is better , either hybrid, content based , collaborative based, knn , how can we calculate error for them?

  • @manzooransarimanzoor
    @manzooransarimanzoor 3 роки тому

    Hi Krish,
    Could you please make a video on the reciprocal recommender system?

  • @rohitsharma-kr9gk
    @rohitsharma-kr9gk 5 років тому +2

    Sir can you make a series video on fitness based recommendation system.
    and can you tell me how to collect data set of different people and recommend them food and exercise according to that data set.
    plz reply sir....

    • @aksontv
      @aksontv 5 років тому

      hi, did you complete this project. I also need this

  • @fobaogunkeye3551
    @fobaogunkeye3551 Рік тому

    Thanks for the video Krish. How did you come up with the weighted average formula? Is it an industry used formula?

  • @dipannita7436
    @dipannita7436 3 роки тому

    What is popularity? How it gets counted.

  • @AkshaySowdari
    @AkshaySowdari Рік тому

    8:33 There are null values in tagline feature!

  • @technologyaf8643
    @technologyaf8643 Рік тому

    At 13:17 why I am getting errors like ,list indices must be integers or slices, not str

  • @MyName-ur3ir
    @MyName-ur3ir 4 роки тому +1

    you are very kind and just amazing! thank you for being so devoted

  • @chelseagrinist
    @chelseagrinist 3 роки тому +1

    After taking the 70th percentile don't we have to filter it out to a new dataset consisting of the remaining 30th percentile to calculate the weighted average on ?

  • @louerleseigneur4532
    @louerleseigneur4532 3 роки тому

    Thanks Krish

  • @sirajabbasi8682
    @sirajabbasi8682 2 роки тому

    Awesome

  • @ShikshaMishraMTCS
    @ShikshaMishraMTCS 2 роки тому

    Hi, can make a video of how after training a model which predicts rating by a user of an item, multiple recommendations for a particular user based on their item rakings are generated?? It would be really helpful

  • @dipannita7436
    @dipannita7436 3 роки тому

    great video.

  • @dipanjanabiswas
    @dipanjanabiswas 4 роки тому +1

    Krish Sir. please make a video on Friend / People Recommendation system.

  • @RajasthaniLadka
    @RajasthaniLadka 5 років тому

    as we have already given the popularity here but how it calculated?

  • @Pawan-tc2ih
    @Pawan-tc2ih 3 роки тому

    Your could have shown how to handle 'Error tokenizing data' Error

  • @ritendubhattacharyya313
    @ritendubhattacharyya313 2 роки тому

    Hi sir, thanks for the video, can you please clear my doubt?
    Why you are multiplying with 0.5 with the weighted avg and popularity? If you don't multiply and do the addition normally then also the ranking will be same right?
    Please clarify this one.

    • @hemanthk2310
      @hemanthk2310 Рік тому

      yea i do think it is same without multiplying 0.5

  • @shreyasb.s3819
    @shreyasb.s3819 3 роки тому

    I didn't get what is Cm? U have taken average of votes again calculated mean for that? What its significance?

  • @chch8034
    @chch8034 5 років тому +1

    Can u give me how to mesurment ?

  • @himanshuchaudhary9597
    @himanshuchaudhary9597 4 роки тому

    Sir can you please tell me how to download it from github

  • @AftabAlam-ze9ix
    @AftabAlam-ze9ix 4 роки тому

    Good Explanation

  • @akhiljanardhanan712
    @akhiljanardhanan712 4 роки тому

    Hey Krish...How can i evaluate a recommendation system????????

  • @vishalmishra1937
    @vishalmishra1937 4 роки тому +1

    sir how to implement recommendation in own website

    • @ravitejavlog8033
      @ravitejavlog8033 4 роки тому

      @vishal, Is this resolved. I need recommendation system for website. Any help appreciated. Thanks!

    • @amideai
      @amideai 4 роки тому

      @@ravitejavlog8033 you need to create api for this same as your backend

  • @Raj-sz9pg
    @Raj-sz9pg 3 роки тому

    Sir I don't understand why it is called as Weighted Hybrid? If it's Average

  • @victorhenostroza1871
    @victorhenostroza1871 2 роки тому

    Thanks

  • @dorydoo8087
    @dorydoo8087 3 роки тому

    Thank you

  • @subham9574
    @subham9574 5 років тому +1

    Thank you sir ❤️

  • @mohammedmunavarbsa573
    @mohammedmunavarbsa573 4 роки тому

    super

  • @darpansalunke1729
    @darpansalunke1729 4 роки тому

    thank you sir

  • @potattow8955
    @potattow8955 4 роки тому

    Thank you so much

  • @mapachu6959
    @mapachu6959 5 років тому

    New Sub! :D

    • @urspappuyt
      @urspappuyt 4 роки тому

      Hi sir can u build a recommendation system for ecommerce data set