À propos de ce cours : In this course, you will learn the fundamental techniques for making personalized recommendations through nearest-neighbor techniques. First you will learn user-user collaborative filtering, an algorithm that identifies other people with similar tastes to a target user and combines their ratings to make recommendations for that user. You will explore and implement variations of the user-user algorithm, and will explore the benefits and drawbacks of the general approach. Then you will learn the widely-practiced item-item collaborative filtering algorithm, which identifies global product associations from user ratings, but uses these product associations to provide personalized recommendations based on a user's own product ratings.
Créé par : University of Minnesota
Enseigné par : Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor
Computer Science and Engineering
Enseigné par : Michael D. Ekstrand, Assistant Professor
Dept. of Computer Science, Boise State University
| Informations de base | Cours 2 de 5 dans Recommender Systems Specialization |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 1
Preface
Note that this course is structured into two-week chunks. The first chunk focuses on User-User Collaborative Filtering; the second chunk on Item-Item Collaborative Filtering. Each chunk has most of the lectures in the first week, and assignments/quizzes and advanced topics in the second week. We encourage learners to treat each two-week chunk as one unit, starting the assignments as soon as they feel they have learned enough to get going.
1 vidéo, 1 lecture
- Reading: Course Structure Outline
User-User Collaborative Filtering Recommenders Part 1
5 vidéos
- Vidéo: Configuring User-User Collaborative Filtering
- Vidéo: Influence Limiting and Attack Resistance; Interview with Paul Resnick
- Vidéo: Trust-Based Recommendation; Interview with Jen Golbeck
- Vidéo: Impact of Bad Ratings; Interview with Dan Cosley
SEMAINE 2
User-User Collaborative Filtering Recommenders Part 2
2 vidéos, 2 lectures
- Reading: Assignment Instructions: User-User CF
- Reading: Introducing User-User CF Programming Assignment
- Vidéo: Programming Assignment - Programming User-User Collaborative Filtering
Noté: User-User CF Answer Sheet
Noté: User-User Collaborative Filtering Quiz
Noté: User-User CF Programming Assignment
SEMAINE 3
Item-Item Collaborative Filtering Recommenders Part 1
6 vidéos
- Vidéo: Item-Item Algorithm
- Vidéo: Item-Item on Unary Data
- Vidéo: Item-Item Hybrids and Extensions
- Vidéo: Strengths and Weaknesses of Item-Item Collaborative Filtering
- Vidéo: Interview with Brad Miller
SEMAINE 4
Item-Item Collaborative Filtering Recommenders Part 2
2 vidéos, 2 lectures
- Reading: Item-Based CF Assignment Instructions
- Reading: Introducing Item-Item CF Programming Assignment
- Vidéo: Programming Assignment - Programming Item-Item Collaborative Filtering
Noté: Item Based Assignment Part l
Noté: Item Based Assignment Part II
Noté: Item Based Assignment Part III
Noté: Item Based Assignment Part IV
Noté: Item-Item CF Programming Assignment
Advanced Collaborative Filtering Topics
5 vidéos
- Vidéo: Recommending for Groups: Interview with Anthony Jameson
- Vidéo: Threat Models
- Vidéo: Explanations
- Vidéo: Explanations, Part II: Interview with Nava Tintarev
Noté: Item-Based and Advanced Collaborative Filtering Topics Quiz
FAQ
Comment cela fonctionne
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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Créateurs
University of Minnesota
The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
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