k9luo
University of Toronto: MASc, Recommender Systems, Conversational Recommendation; University of Waterloo: BASc, Computer Engineering
University of TorontoToronto, ON, Canada
Pinned Repositories
Android-Chat-Application-using-XMPP
Android_Apps
ECE 155 | Engineering Design with Embedded Systems | Winter 2015 All labs are Android applications and were tested on Nexus 5 and Nexus 7 devices. Lab 1 - Sensor Reader Displays informaton from an android phone sensors. Sensors include Light sensor: Displays light intensity Accelerometer: Displays X,Y,Z acceleration and displays it on a graph with respect to time Magnetic Field Sensor: Displays X,Y,Z field values Rotation Sensor: Displays X,Y,Z rotation values Lab 2 - Step Counter Detects and counts user steps (device held in both hands with screen facing upwards) Uses accelerometer data to detect a step in the user's motion. Step counter is then incremented and displayed on screen. Step counter can be reset by pressing the reset button.> Lab 3 - Displacement Tracker Measures user displacement in NS/EW coordinates Uses existing code from Lab 2 and adds the user's direction to track their displacement. North has to be calibrated by facing North and hitting the calibrate button. Lab 4 - Map Guide Gives directions to the user to move from one point of a room to another. Uses existing code from Lab 3 to track the user's displacement. A map in an SVG format must be added to the app's files directory. The user can set their initial location and direction by pressing and holding on the map.
Deep-Preference-Elicitation
A Comparative Evaluation of Active Learning Methods in Deep Recommendation
DeepCritiquingForVAEBasedRecSys
Official Code Framework of the paper "Deep Critiquing for VAE-based Recommender Systems"
Hybrid-Mobile-Chat-App
K-Nearest-Neighbors-Recommendation-on-Yelp
LatentLinearCritiquingforConvRecSys
Official Code Framework of the paper "Latent Linear Critiquing for Conversational Recommender Systems"
Punctuation-Restoration
A TensorFlow Implementation of Punctuation Restoration.
DeepCritiquingForRecSys
Official Code Framework of the paper "Deep Language-based Critiquing for Recommender System"
MultiModesPreferenceEstimation
k9luo's Repositories
k9luo/Android-Chat-Application-using-XMPP
k9luo/Punctuation-Restoration
A TensorFlow Implementation of Punctuation Restoration.
k9luo/Android_Apps
ECE 155 | Engineering Design with Embedded Systems | Winter 2015 All labs are Android applications and were tested on Nexus 5 and Nexus 7 devices. Lab 1 - Sensor Reader Displays informaton from an android phone sensors. Sensors include Light sensor: Displays light intensity Accelerometer: Displays X,Y,Z acceleration and displays it on a graph with respect to time Magnetic Field Sensor: Displays X,Y,Z field values Rotation Sensor: Displays X,Y,Z rotation values Lab 2 - Step Counter Detects and counts user steps (device held in both hands with screen facing upwards) Uses accelerometer data to detect a step in the user's motion. Step counter is then incremented and displayed on screen. Step counter can be reset by pressing the reset button.> Lab 3 - Displacement Tracker Measures user displacement in NS/EW coordinates Uses existing code from Lab 2 and adds the user's direction to track their displacement. North has to be calibrated by facing North and hitting the calibrate button. Lab 4 - Map Guide Gives directions to the user to move from one point of a room to another. Uses existing code from Lab 3 to track the user's displacement. A map in an SVG format must be added to the app's files directory. The user can set their initial location and direction by pressing and holding on the map.
k9luo/LatentLinearCritiquingforConvRecSys
Official Code Framework of the paper "Latent Linear Critiquing for Conversational Recommender Systems"
k9luo/DeepCritiquingForVAEBasedRecSys
Official Code Framework of the paper "Deep Critiquing for VAE-based Recommender Systems"
k9luo/K-Nearest-Neighbors-Recommendation-on-Yelp
k9luo/Deep-Preference-Elicitation
A Comparative Evaluation of Active Learning Methods in Deep Recommendation
k9luo/Hybrid-Mobile-Chat-App
k9luo/Coursera-Stanford-Machine-Learning-Course
Coursera Stanford Machine Learning Programming Exercise
k9luo/leetcode-1
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
k9luo/Pelmorex-Data-Scientist-Test
An ads recommendation.
k9luo/TealbookCodingChallenge
k9luo/Variational-Autoencoders-for-Collaborative-Filtering-Recommendation-on-Yelp
Variational Autoencoders for Collaborative Filtering Recommendation on Yelp Dataset
k9luo/wavenet_vocoder
WaveNet vocoder