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Aanbevelingssystemen zijn geavanceerde algoritmes die ingezet worden om gebruikers gepersonaliseerde suggesties te bieden. Ze zijn een cruciaal onderdeel van veel moderne online platforms, waaronder e-commerce websites, streamingdiensten en sociale netwerken, waar ze helpen de klanttevredenheid te verhogen en de verkoop te stimuleren door producten en diensten aan te bevelen die aansluiten bij individuele voorkeuren.
Kernfuncties van Aanbevelingssystemen
- Gegevensverzameling: Verzamelen van gebruikersdata via interacties, aankopen, zoekopdrachten en beoordelingen om een gebruikersprofiel te bouwen.
- Verwerking: Analyseren van verzamelde gegevens met behulp van verschillende algoritmes om patronen en voorkeuren te identificeren.
- Suggestiegeneratie: Het systeem gebruikt deze patronen om relevante items automatisch te suggereren aan de gebruiker.
- Personalisatie: Continu bijwerken en aanpassen van aanbevelingen op basis van nieuwe gebruikersgegevens om de nauwkeurigheid en relevantie van de suggesties te verbeteren.
Typen Aanbevelingssystemen
- Op content gebaseerde filtering: Suggesties gebaseerd op de kenmerken van producten of content die een gebruiker in het verleden heeft geprefereerd.
- Collaboratieve filtering: Maakt gebruik van de verzamelde gegevens van vele gebruikers om aanbevelingen te doen gebaseerd op gelijkenissen tussen gebruikers.
- Hybride systemen: Combineert verschillende aanbevelingsstrategieën om de voordelen van elk te benutten en betere resultaten te leveren.
Toepassingen van Aanbevelingssystemen
- E-commerce: Verbeteren van de shopping ervaring door producten voor te stellen die een gebruiker waarschijnlijk wil kopen.
- Streamingdiensten: Aanbevelen van films, tv-series en muziek op basis van de voorkeuren en kijkgeschiedenis van de gebruiker.
- Sociale media: Suggesties voor vrienden, nieuws, en content die waarschijnlijk interessant zijn voor de gebruiker, wat de betrokkenheid verhoogt.
Belang van Aanbevelingssystemen
Aanbevelingssystemen zijn essentieel voor bedrijven die opereren in een digitaal en competitief landschap. Ze niet alleen verhogen de klanttevredenheid en retentie, maar ook stimuleren ze de verkoop door het effectief targeten van producten en diensten aan de juiste klanten.
Overzicht cursussen Aanbevelingssysteem
Doelgroep: Voor beginners..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
38 minuten totaal
Partner: Udemy
Instructeur:
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Maximise immersion with key metrics and algorithms to build a Simple/Reliable Recommendation Engine.
Wat je leert: Ranking metrics: NDCG, AP@k, AUC@k, DCG, IDCG , How to work with Heuristic Algorithms , Collaborative Algorithms and Matrix Decompositions
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Doelgroep: Voor beginners..
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Taal: Engels
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Partner: Udemy
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Wat je leert: content based recommendations
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Wat je leert: content based recommendations
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
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Partner: Udemy
Instructeur:
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Wat je leert: The fundamentals of Recommendation Engines, including collaborative filtering. , Setting up the environment with Anaconda, downloading datasets, and using the Surprise library. , Implementing cross-validation models for training and testing predictio
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Taal: Engels
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Partner: Udemy
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Practical Guide to Building Recommender Systems: Turning Theory into Real-World Applications using Recommender Systems.
Wat je leert: • Learn the about basics of recommender systems , • Learn the basics impact of recommender systems with integrated artificial intelligence , • Learn about the major challenges and applications of recommender systems
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Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
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Partner: Udemy
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Wat je leert: Learn what recommender systems are and their importance for business intelligence , Learn the main aspects of implementing data science technique within the R Programming Language , Implement practical recommender systems using R Programming Language
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Wat je leert: Learn what recommender systems are and their importance for business intelligence , Learn the main aspects of implementing data science technique within the R Programming Language , Implement practical recommender systems using R Programming Language
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
4,5 uur in totaal
Partner: Udemy
Instructeur:
Minerva Singh
Implementing Data Science Driven Recommender Systems For Business Applications Using Python Within Google Colab.
Wat je leert: Learn what recommender systems are and their importance for business intelligence , Learn the main aspects of implementing a Python data science framework within Google Colab , Basic text analysis to learn more about user preferences
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Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
4,5 uur in totaal
Partner: Udemy
Instructeur:
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Real World Projects on recommendation systems with data science, machine learning and AI techniques...
Wat je leert: Learn How to tackle Real world Problems.. , Learn Collaborative based filtering , Learn how to use Correlation for Recommending similar Movies or similar books
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Doelgroep: Voor beginners..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
4 uur in totaal
Partner: Udemy
Instructeur:
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Use collaborative filtering to recommend movies to users! Implementations step by step from scratch!.
Wat je leert: Understand the basics about recommender systems , Understand the theory and mathematical calculations of collaborative filtering , Implement user-based collaborative filtering and item-based collaborative filtering step by step in Python
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Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
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Instructeur:
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Master recommendation systems Industry Projects using using modern recommendation techniques and methodologies.
Wat je leert: Learn about the different types of Recommender Systems. , Learn about Content based recommendation system. , Learn about Collaborative based filtering.
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Type Opleiding: online/e-learning
Richtprijs: €19.99
Taal: Engels
Duur:
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Doelgroep: Anyone who wish to learn machine learning,Anyone who wish to develop recommender systems..
Type Opleiding: online/e-learning
Richtprijs: €99.99
Taal: Engels
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Partner: Udemy
Start your Machine Learning career with this basic Machine learning course. Together we will look into the "shallow" learning algorithms KNN and SVD. The course consist of both assignments, follow along programming and theory lectures to ensure that you as a student have the best possible foundation to make real world applications using KNN or SVD.
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Doelgroep: any machine learning engineer or data scientist who want to learn about trending machine learning application,any professional who want to know the secrets behind the recommendation of the products..
Type Opleiding: online/e-learning
Richtprijs: €19.99
Taal: Engels
Duur:
1 uur in totaal
Partner: Udemy
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In this course, you'll going to learn about recommendation system. Also known as recommender engines. According to Netflix, there 70% of the videos seen by recommending the videos to the user. Not only Netflix, Amazon also claims most products, they because of their recommendation system. There is a wide range of techniques to be used to build recommender engines. In this learning path, It will mo
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Doelgroep: Any student, developer or entrepreneur looking to learn how to build Recommender Systems...
Type Opleiding: online/e-learning
Richtprijs: €49.99
Taal: Engels
Duur:
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Partner: Udemy
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Type Opleiding: online/e-learning
Richtprijs: €24.99
Taal: Engels
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Course DescriptionLearn to build recommendation engine with Collaborative filtering and popular programming language Python.Build a strong foundation in Recommendation Systems with this tutorial for beginners.Understanding of recommendation systemsLeverage Collaborative filtering to classify documentsUser Jupyter Notebook for programmingUse singular value decomposition (SVD) for recomme
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Nowadays...Recommendation Engines are everywhere!Netflix, Amazon and YouTube to name a few.Then there is the Ultimate Recommendation Engine: Google.Recommendation Engines help us make choices suited to our personal tastes.They give us suggestions for products, movies, books, foods and even romantic partners!Pretty soon, Recommendation Engines will be essential to selling anything and Big Com
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Type Opleiding: online/e-learning
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Taal: Engels
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With the progress in time, we do not have to rely on crystal balls any more to predict the future, we have data! Recommender systems or Recommendation Engines serve as the modern-day crystal balls, with the exception that all of the predictions made by them are backed by data! Recommender Systems also perform the task of filtering, prioritizing and efficiently delivering relevant information in or
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Type Opleiding: online/e-learning
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Taal: Engels
Duur:
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Type Opleiding: online/e-learning
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Taal: Engels
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Partner: Udemy
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