- Inside recommendations: how a recommender system recommends - Nov 17, 2021.
We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.
Recommendation Engine, Recommender Systems
How LinkedIn Uses Machine Learning in its Recruiter Recommendation Systems - Oct 8, 2020.
LinkedIn uses some very innovative machine learning techniques to optimize candidate recommendations.
LinkedIn, Machine Learning, Recommendation Engine, Recommender Systems, Recruitment
- KDnuggets™ News 20:n32, Aug 19: The List of Top 10 Data Science Lists; Data Science MOOCs with Substance - Aug 19, 2020.
The List of Top 10 Lists in Data Science; Going Beyond Superficial: Data Science MOOCs with Substance; Introduction to Statistics for Data Science; Content-Based Recommendation System using Word Embeddings; How Natural Language Processing Is Changing Data Analytics
Courses, Data Analytics, Data Science, Data Science Skills, MOOC, NLP, Recommendation Engine, Recommender Systems, Statistics, Word Embeddings
- Content-Based Recommendation System using Word Embeddings - Aug 14, 2020.
This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.
NLP, Recommendation Engine, Recommender Systems, TF-IDF, Word Embeddings, word2vec
- Building a Content-Based Book Recommendation Engine - Jul 28, 2020.
In this blog, we will see how we can build a simple content-based recommender system using Goodreads data.
Python, Recommendation Engine, Recommender Systems
- Recommender Systems in a Nutshell - Jul 23, 2020.
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about recommender systems and the ways they are used.
Interview, Recommendation Engine, Recommender Systems
- Recommender System Metrics: Comparing Apples, Oranges and Bananas - Feb 11, 2020.
This article will discuss a sometimes-overlooked aspect of what distinguishes recommender systems from other machine learning tasks: added uncertainties of measuring them.
Metrics, Recommendation Engine, Recommender Systems
How YouTube is Recommending Your Next Video - Oct 21, 2019.
If you are interested in learning more about the latest Youtube recommendation algorithm paper, read this post for details on its approach and improvements.
Recommendation Engine, Recommender Systems, Video, Youtube
- An Easy Introduction to Machine Learning Recommender Systems - Sep 4, 2019.
Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code.
Beginners, Machine Learning, Python, Recommendation Engine, Recommender Systems
- Order Matters: Alibaba’s Transformer-based Recommender System - Aug 23, 2019.
Alibaba, the largest e-commerce platform in China, is a powerhouse not only when it comes to e-commerce, but also when it comes to recommender systems research. Their latest paper, Behaviour Sequence Transformer for E-commerce Recommendation in Alibaba, is yet another publication that pushes the state of the art in recommender systems.
Alibaba, Recommendation Engine, Recommender Systems, Transformer
- Building a Recommender System, Part 2 - Jul 3, 2019.
This post explores an technique for collaborative filtering which uses latent factor models, a which naturally generalizes to deep learning approaches. Our approach will be implemented using Tensorflow and Keras.
Movies, Python, Recommendation Engine, Recommender Systems
- Building a Recommender System - Apr 4, 2019.
A beginners guide to building a recommendation system, with a step-by-step guide on how to create a content-based filtering system to recommend movies for a user to watch.
Movies, Python, Recommendation Engine, Recommender Systems
- Recommender Engine - Under The Hood - Feb 21, 2018.
We examine two main types of recommender systems: Content based and Collaborative filtering. Both have their pros and cons depending upon the context in which you want to use them.
Recommendation Engine, Recommender Systems, TF-IDF
- Recommendation Engines and Real-time personalization – download guidebook - Oct 26, 2017.
Recommendation engines are effective because they expose users to content they may not have otherwise found. For a step-by-step guide on building an effective recommendation engine from the ground up, check out our latest guidebook.
Dataiku, Free ebook, Real-time, Recommendation Engine, Recommendations
- The Data Science of Steel, or Data Factory to Help Steel Factory - Apr 25, 2017.
Applying Machine Learning to steel production is really hard! Here are some lessons from Yandex researchers on how to balance the need for findings to be accurate, useful, and understandable at the same time.
Applications, Recommendation Engine, Regression, Russia, Steel, Yandex
- Cartoon: When Self-Driving Car + Machine Learning takes you too far … - Jan 4, 2017.
What can happen in the not too distant future when advanced technologies like a Self-Driving car and Machine Learning Recommendations Engine are combined ...
Cartoon, Food, Recommendation Engine, Self-Driving Car
- DataRPM: Building Data Products For Recommendations And Predictions, Webinar, Feb 18 - Feb 16, 2016.
Learn how to build data products for recommendations and predictions quickly and easily using DataRPM; Why productizing data can transform your organization.
DataRPM, Products, Recommendation Engine
- Prediction.io open source machine learning server - Apr 10, 2014.
Prediction.io is an open source machine learning server for predictive solutions, such as personalization or recommendations, built on top of scalable frameworks such as Hadoop and Cascading - ready to handle Big Data.
Machine Learning, Open Source, Personalization, PredictionIO, Recommendation Engine
- New Book on Realtime Analytics and Recommendation Engines - Jan 23, 2014.
The book covers realtime analytics and its application to recommendation engines from a control-theoretic perspective.
Realtime Analytics, Recommendation Engine, Recommender Systems
