關於此課程：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.
製作方： 明尼苏达大学
教學方： Joseph A Konstan, Distinguished McKnight Professor and Distinguished University Teaching Professor
Computer Science and Engineering教學方： Michael D. Ekstrand, Assistant Professor
Dept. of Computer Science, Boise State University
| 基本信息 | 課程 2（共 5 門，Recommender Systems Specialization ） |
| 語言 | English |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
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 個視頻, 1 個閱讀材料
- Reading: Course Structure Outline
User-User Collaborative Filtering Recommenders Part 1
5 個視頻
- 視頻: Configuring User-User Collaborative Filtering
- 視頻: Influence Limiting and Attack Resistance; Interview with Paul Resnick
- 視頻: Trust-Based Recommendation; Interview with Jen Golbeck
- 視頻: Impact of Bad Ratings; Interview with Dan Cosley
第 2 週
User-User Collaborative Filtering Recommenders Part 2
2 個視頻, 2 個閱讀材料
- Reading: Assignment Instructions: User-User CF
- Reading: Introducing User-User CF Programming Assignment
- 視頻: Programming Assignment - Programming User-User Collaborative Filtering
已評分: User-User CF Answer Sheet
已評分: User-User Collaborative Filtering Quiz
已評分: User-User CF Programming Assignment
第 3 週
Item-Item Collaborative Filtering Recommenders Part 1
6 個視頻
- 視頻: Item-Item Algorithm
- 視頻: Item-Item on Unary Data
- 視頻: Item-Item Hybrids and Extensions
- 視頻: Strengths and Weaknesses of Item-Item Collaborative Filtering
- 視頻: Interview with Brad Miller
第 4 週
Item-Item Collaborative Filtering Recommenders Part 2
2 個視頻, 2 個閱讀材料
- Reading: Item-Based CF Assignment Instructions
- Reading: Introducing Item-Item CF Programming Assignment
- 視頻: Programming Assignment - Programming Item-Item Collaborative Filtering
已評分: Item Based Assignment Part l
已評分: Item Based Assignment Part II
已評分: Item Based Assignment Part III
已評分: Item Based Assignment Part IV
已評分: Item-Item CF Programming Assignment
Advanced Collaborative Filtering Topics
5 個視頻
- 視頻: Recommending for Groups: Interview with Anthony Jameson
- 視頻: Threat Models
- 視頻: Explanations
- 視頻: Explanations, Part II: Interview with Nava Tintarev
已評分: Item-Based and Advanced Collaborative Filtering Topics Quiz
常見問題解答
運作方式
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
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製作方
明尼苏达大学
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
(+) The course material is good with real world examples and interviews with different people.
(+) Interesting material
(-) The assignments had mistakes.
(-) There is no example provided for practice before jumping into assignments.
very nice
The topics I am interested in covered by people who definitely has related expertise. But overall quality of the teaching materials expected to be higher. Forum is also a little bit deserted, although contains some critical hints to pass the assignments (such a hints worth to be included in the assignment descriptions itself). I want to support the course, and it is pity to give it only 4 of 5 stars, but I really expect more quality from the course I paid for.
It would be better to provide other programming language such as python in honour assignment. And in the assignment should more emphasis on the algorithm not rely on too much others such as Lenskit.