Meta-Guide.com

Wikipedia:

• Recommender system

References:

• Collaborative Filtering Recommender Systems (2011)

See also:

Conversational Recommender Systems 2014 | Recommender Dialog Systems 2013 | Recommender Dialog Systems 2014 | Recommender Dialog Systems 2015

[69x Sep 2017]

• 075 Introduction to Spark Recommendation Systems
• 6.9 – Lesson 6.9: Recommender Systems: Collaborative Filtering – Part 3 [Text Retrieval and Searc…
• 6.8 – Lesson 6.8: Recommender Systems: Collaborative Filtering – Part 2 [Text Retrieval and Searc…
• 6.5 – Lesson 6.5: Recommender Systems: Content-Based Filtering – Part 1 [Text Retrieval and Searc…
• 6.7 – Lesson 6.7: Recommender Systems: Collaborative Filtering – Part 1 [Text Retrieval and Searc…
• 6.6 – Lesson 6.6: Recommender Systems: Content-Based Filtering – Part 2 [Text Retrieval and Searc…
• 4.3 – Assignment Intro Video [Recommender Systems: Evaluation and Metrics]
• 3.1 – Introduction to Online Evaluation and User Studies [Recommender Systems: Evaluation and Met…
• 2.6 – Programming Assignment Introduction [Recommender Systems: Evaluation and Metrics]
• 1.7 – Assignment Intro Video [Recommender Systems: Evaluation and Metrics]
• 1.1 – Introduction to Evaluation and Metrics [Recommender Systems: Evaluation and Metrics]
• 4.3 – Unified Mathematical Model [Introduction to Recommender Systems: Non-Personalized and Conte…
• 3.8 – Beyond TFIDF — Interview with Pasquale Lops [Introduction to Recommender Systems: Non-Pers…
• 4.2 – Honors: Intro to programming assignment [Introduction to Recommender Systems: Non-Personali…
• 3.6 – Dialog-Based Recommenders — Interview with Pearl Pu [Introduction to Recommender Systems: …
• 3.3 – Content-Based Filtering: Deeper Dive [Introduction to Recommender Systems: Non-Personalized…
• 3.5 – Case-Based Reasoning — Interview with Barry Smyth [Introduction to Recommender Systems: No…
• 3.2 – TFIDF and Content Filtering [Introduction to Recommender Systems: Non-Personalized and Cont…
• 3.4 – Entree Style Recommenders — Robin Burke Interview [Introduction to Recommender Systems: No…
• 3.1 – Introduction to Content-Based Recommenders [Introduction to Recommender Systems: Non-Person…
• 2.5 – Product Association Recommenders [Introduction to Recommender Systems: Non-Personalized and…
• 2.6 – Assignment #1 Intro Video [Introduction to Recommender Systems: Non-Personalized and Conten…
• 2.3 – Summary Statistics II [Introduction to Recommender Systems: Non-Personalized and Content-Ba…
• 2.2 – Summary Statistics I [Introduction to Recommender Systems: Non-Personalized and Content-Based]
• 2.4 – Demographics and Related Approaches [Introduction to Recommender Systems: Non-Personalized …
• 1.9 – Recommender Systems: Past, Present and Future [Introduction to Recommender Systems: Non-Per…
• 1.10 – Introducing the Honors Track [Introduction to Recommender Systems: Non-Personalized and Co…
• 1.8 – Tour of Amazon.com [Introduction to Recommender Systems: Non-Personalized and Content-Based]
• 1.7 – Taxonomy of Recommenders II [Introduction to Recommender Systems: Non-Personalized and Cont…
• 1.5 – Predictions and Recommendations [Introduction to Recommender Systems: Non-Personalized and …
• 2.1 – Non-Personalized and Stereotype-Based Recommenders [Introduction to Recommender Systems: No…
• 1.6 – Taxonomy of Recommenders I [Introduction to Recommender Systems: Non-Personalized and Conte…
• 1.11 – Honors: Setting up the development environment [Introduction to Recommender Systems: Non-P…
• 1.4 – Preferences and Ratings [Introduction to Recommender Systems: Non-Personalized and Content-…
• 1.1 – Intro to Recommender Systems [Introduction to Recommender Systems: Non-Personalized and Con…
• 1.2 – Intro to Course and Specialization [Introduction to Recommender Systems: Non-Personalized a…
• 1.3 – Movielens Tour [Introduction to Recommender Systems: Non-Personalized and Content-Based]
• 1.1 – Intro to Recommender Systems [Introduction to Recommender Systems: Non-Personalized and Con…
• Alexandre Hubert: How to Improve your Recommender System with Deep Learning
• How Does Netflix Recommend Movies || Netflix and Recommender Systems
• #bbuzz 17: Raam Rosh Hai – How to build a recommendation system overnight
• Introduction Serendipity in Recommender Systems
• How Big Data Is Used In Amazon Recommendation Systems To Change Our Lives
• Rubber Soil Information System -RubSIS-Online Fertilizer Recommendation in Rubber-How to use
• RecSys 2016 – Tutorial: Lessons Learned from Building Real-life Recommender Systems
• RecSys 2016: Tutorial on Group Recommender Systems
• RecSys 2016: Tutorial on Lessons Learned from Building Real-life Recommender Systems
• How Recommendation Systems Work On Amazon & Netflix | Simplilearn Webinar
• How Big Data Is Used In Amazon Recommendation Systems To Change Our Lives
• How to build a machine learning recommender systems and how to sell one to your boss
• [Chapter 1] Introduction to Recommender Systems
• Big Data Course Spring Unit 16 Lesson 2 Recommender Systems Introduction 720p
• Clustering of Recommender System Example Spring 2014 Unit 20 Lesson 3 MOOC Unit 16 Lesson 2 720p
• Big Data Course Spring Unit 16 Lesson 1 Recommender Systems as an Optimization Problem 720p
• Writing Recommender Systems with Java: An Introduction
• Science Café: How Did They Know I Wanted That? Recommendation Systems and Social Influence
• Introduction to Recommender Systems with Joseph A Konstan and Michael D Ekstrand
• Introduction to Recommendation Systems | Apache Mahout | Edureka
• HOW TO USE THE D2F RECOMMENDATION SYSTEM
• Big Data Course-Spring Unit 16 Lesson 2: Recommender Systems Introduction
• Big Data Course-Spring Unit 16 Lesson 1: Recommender Systems as an Optimization Problem
• Introduction to Recommender Systems with Joseph A Konstan and Michael D Ekstrand
• Recommendation system Intro
• Clustering of Recommender System Example Spring 2014: Unit 20 Lesson 3 / MOOC Unit 16 Lesson 2
• Big Data Course-Mooc Unit 13: Lesson 1: Recap of Recommender Systems I
• IU X-Informatics Unit 12: Lesson 2: Recommender Systems Introduction
• IU X-Informatics Unit 12: Lesson 1: Recommender Systems as an Optimization Problem
• Introduction: Recommender Systems