Publications by Zhi Ying Chen (Sec#1), Mengqin Cai (Sec#3), Fan Xu (Sec#4), Sin Ying Wong (Sec#4)
Data 612 - Final Project
Code Show All Hide All DATA 612 Final Project 1 Project Goal 2 Introduction 2.1 Note 3 Load Library 4 Build Model in RecommenderLab 4.1 Import Small MovieLens Dataset 4.1.1 Read data from CSV 4.2 Data Exploration 4.2.1 Data: Ratings 4.2.2 Data: Movie 4.2.3 User Similarity 4.2.4 Item Similarity 4.3 Select Sample Data 4.4 Build Models 4.4.1 ...
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Data 612 - Discussion 4
Code Show All Hide All DATA 612 Discussion 4 Instruction Response Sin Ying Wong 7/12/2020 Instruction Mitigating the Harm of Recommender Systems Read one or more of the articles below and consider how to counter the radicalizing effects of recommender systems or ways to prevent algorithmic discrimination. Renee Diresta, Wired.com (2018):...
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Data 612 - Discussion 3
Code Show All Hide All DATA 612 Discussion 3 Instruction Response Reference Sin Ying Wong 7/12/2020 Instruction As more systems and sectors are driven by predictive analytics, there is increasing awareness of the possibility and pitfalls of algorithmic discrimination. In what ways do you think Recommender Systems reinforce human bias? Ref...
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Data 612 - Discussion 2
Code Show All Hide All DATA 612 Discussion 2 Instruction Response Sin Ying Wong 7/10/2020 Instruction For this discussion item, please watch the following talk and summarize what you found to be the most important or interesting points. The first half will cover some of the mathematical techniques covered in this unit’s reading and the ...
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Data 612 - Project 5 - Implementing a Recommender System on Spark
Code Show All Hide All DATA 612 Project 5 - Implementing a Recommender System on Spark Instruction Introduction Load Packages Import Data Read Data Data Exploration Build Model in RecommenderLab Sampling Train-Test Splitting with Cross Validation Train Model Make Prediction RMSE Compute Run Time Build Model in Spark Set Spark Configuration ...
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Data 612 - Project 4 - Accuracy and Beyond
Code Show All Hide All DATA 612 Project 4 - Accuracy and Beyond Instruction Introduction Load Packages Read Data Data Exploration Data Preparation Building Recommendation Models UBCF Models IBCF Models SVD Models Random Models Increasing Serendipity UBCF vs HYBRID ICBF vs HYBRID SVD vs HYBRID Conclusion Sin Ying Wong, Zhi Ying Chen, Fan X...
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Data 612 - Final Project Proposal
Code Show All Hide All DATA 612 Final Project Proposal Project Goal Dataset Introduction Design Steps Reference Sin Ying Wong, Zhi Ying Chen, Fan Xu 7/02/2020 Project Goal In this final project, we will work in a small group to build out a recommender system using a large dataset containing 1M+ ratings, or 10k+ users with 10k+ items. Usin...
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Data 612 - Discussion 1
Code Show All Hide All DATA 612 Discussion 1 Part 1 Instruction Part 1 Response Part 2 Instruction Part 2 Response Reference Sin Ying Wong 7/10/2020 Part 1 Instruction Now that we have covered basic techniques for recommender systems, choose one commercial recommender and describe how you think it works (content-based, collaborative filte...
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Data 605 - Assignment 2
Code Show All Hide All Data 605 HW2: Trace, Determinant, Factorization 1 Problem Set 1 1.1 Part(1) 1.1.1 Proof 1.1.2 Demonstration 1.2 Part(2) 2 Problem Set 2 2.1 LDU Decomposition 2.1.1 LDU Decomposition Function 2.1.2 Test the function Sin Ying Wong 09/06/2020 Please refer to the Assignment 2 Document. library(tidyr) library(dplyr) ...
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Data 605 - Assignment 8
Code Show All Hide All Data 605 HW8: Sums of RVs, Law of Large Numbers 1 Problem Set 1 (Sec7.2 Ex11) 1.1 PS1 Answer 2 Problem Set 2 (Sec7.2 Ex14) 2.1 PS2 Answer 3 Problem Set 3 (Sec8.2 Ex1) 3.1 PS3 Answer 3.1.1 Part a 3.1.2 Part b 3.1.3 Part c 3.1.4 Part d Sin Ying Wong 10/18/2020 Assignment 8: Introduction to Probability Textbook page3...
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