Create a conversational system to extract user preference by asking user’s favorite movies Also the user is supposed to give out his score for his favorite movies The explanation module of the system will analyze the user’s feature-level preference based on the information obtained from the conversational system And then show the user to make him understand himself better
Jokey King
Computer Science
Tsukuba,Japan
Summary
Seeking a software-engineer internship position.
Studying for master degree at University of Tsukuba. Has a wide range of project
experience, including chatbot application development and deep learning, 3+ years
of programming experience for scientific research in model construction and data
analysis, strong knowledge of computer science, mathematics and statistics, and
programming skills.
Overview
6
6
years of post-secondary education
Work History
Software Development Engineer (SDE) Intern
Alibaba Group
Hangzhou, China
06.2021 - 09.2021
·Based on the background that the system has many interdependence timed tasks with high retry failure rates, established a task library to unify the management of timed tasks. The task library is scanned at certain time intervals to obtain tasks for execution.
·Designed task priority policies to alleviate the resource usage of hourly tasks on tasks supposed to execute in a second. Designed lock to prevent duplicate reads of tasks. Implemented environment isolation. Considered methods to guarantee throughput for high concurrency scenarios.
Education
M.D. - Computer Science
University of Tsukuba
Japan 04.2020 - Current
- Exchange Student in Computer Science
University of California, Riverside
CA, U.S. 09.2018 - 12.2018
Bachelor of Computer Science - Computer Science
Hangzhou Dianzi University
Hangzhou, China 09.2015 - 06.2019
Skills
Programming Language: web development using HTML, CSS, JavaScript; statistical analysis using python and spss; database operation using postgreSQL; deep learning model construction using pytorch
Japanese Language: JLPT N1 137 score
English Language: TOEFL 92 score
Software
Based on MovieLens dataset, get user feature-level preference from film-level preference according to scores
Use 2 sets of scores to capture whether the user understands himself better ie, make the user score 5 of his favorite movies first After the system explains to the user about his preference, ask for the same 5 movies again Compare the difference between 2 sets of scores to evaluate the cognitive change of the user
Timeline
Software Development Engineer (SDE) Intern
Alibaba Group
06.2021 - 09.2021
M.D. - Computer Science
University of Tsukuba
04.2020 - Current
- Exchange Student in Computer Science
University of California, Riverside
09.2018 - 12.2018
Bachelor of Computer Science - Computer Science
Hangzhou Dianzi University
09.2015 - 06.2019