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restaurantrecommendation's Introduction

๐Ÿ“› ํ•™๊ต ๊ทผ์ฒ˜ ์ ์‹ฌ ๋ฉ”๋‰ด & ์‹๋‹น ์ถ”์ฒœ / Lunch Menu & Restaurant Recommendation Nearby School

์ปจํ…์ธ  ๊ธฐ๋ฐ˜ ํ•„ํ„ฐ๋ง์„ ์ด์šฉํ•œ ์šฐ์†ก๋Œ€ ๊ทผ์ฒ˜ ์ ์‹ฌ ๋ฉ”๋‰ด ๋ฐ ์‹๋‹น ์ถ”์ฒœ

This is lunch menu & restaurant recommendation nearby Woosong University using Content Based Filtering.

๐Ÿงพ ํ”„๋กœ์ ํŠธ ์†Œ๊ฐœ / Project Description

์บก์ฒ˜

TMDB 5000 ๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉํ•œ ์ฝ˜ํ…์ธ  ๊ธฐ๋ฐ˜ ํ•„ํ„ฐ๋ง ํŒŒ์ด์„  ์ฝ”๋“œ๋ฅผ ์ฐธ๊ณ ํ•ด์„œ ์šฐ์†ก๋Œ€ ๊ทผ์ฒ˜ ์‹๋‹น๊ณผ ๋ฉ”๋‰ด๋กœ ์น˜ํ™˜ํ•ด์„œ ์‚ฌ์šฉ์ž์— ์ž…๋ ฅ์— ๋”ฐ๋ผ ์œ ์‚ฌํ•œ ๋ฉ”๋‰ด์™€ ํ•ด๋‹น ๋ฉ”๋‰ด๋ฅผ ์ œ๊ณตํ•˜๋Š” ์‹๋‹น์„ ์•Œ๋ ค์ฃผ๋Š” ํ”„๋กœ๊ทธ๋žจ ๋จธ์‹ ๋Ÿฌ๋‹ ์ „๊ณต ์ˆ˜์—… ์ค‘ ํ”„๋กœ์ ํŠธ๋ฅผ ์œ„ํ•ด ์ถ”์ฒœ ์‹œ์Šคํ…œ๊ณผ ํ•ด๋‹น ์ฃผ์ œ๋ฅผ ์„ ์ • ์ถ”์ฒœ ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์ˆ˜ํ•™์  ์›๋ฆฌ๋Š” ์•Œ๊ณ  ์žˆ์—ˆ์œผ๋‚˜ ์ด๋ฅผ ์‹คํ˜„์‹œํ‚ค๊ธฐ ์œ„ํ•ด ํ•ด๋‹น ์ฃผ์ œ๋ฅผ ๊ณ ๋ฆ„ ์ง€๊ธˆ์€ ์‚ฌ์šฉ๋˜์ง€ ์ž˜ ์•Š๋Š” ๋ฐฉ๋ฒ•์ด๊ณ  ๋‹จ์ ๋„ ํฌ์ง€๋งŒ ์ด๋ฏธ ๋งŽ์€ ์˜ˆ์‹œ๊ฐ€ ๋‚˜์™€ ์žˆ์–ด ํ•ด๋‹น ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๋Œ€ํ•ด ์‹œ์ž‘ํ•˜๊ธฐ ์ข‹๊ณ  ๊ธฐ์กด ์˜ํ™” ๋ฐ์ดํ„ฐ์…‹๋ง๊ณ  ๊ฐœ์„ฑ์žˆ๋Š” ์ฃผ์ œ๋กœ ํ•ด๋‹น ์ถ”์ฒœ ์‹œ์Šคํ…œ์„ ๊ตฌํ˜„ํ•˜๊ณ  ์‹ถ์–ด ๊ณ ๋ฅด๊ฒŒ ๋˜์—ˆ์Œ ๊ฐ€๋Šฅํ•˜๋‹ค๋ฉด, ์‚ฌ์šฉ์ž์˜ ์ž…๋ ฅ์ด ์ง€์†์ ์œผ๋กœ ๋ฐ˜์˜๋˜๋Š” ์•Œ๊ณ ๋ฆฌ์ฆ˜์œผ๋กœ ๋ฐœ์ „์‹œํ‚ค๋ ค๊ณ  ํ•จ

Program that recommending lunch menu and restaurants nearby Woosong University by refering content based filtering using TMDB 5000 dataset. Chose this topic and recommendation system for the project of the machine learning major class In therothically, I want to realize this in real code even knew the mathematical principles about this I choose the this topic for the project of the Machine Learning major subject.
I already knew the mathematical principle of the content based system but I wanted to realize this one.
We don't use them anymore but it is well-known topic, lots of references and examples, and for a try with original topic rather than the moive datasets.
If possible, I want to develop with user input reflected and consisting algorithm.

โฒ๏ธ ๊ฐœ๋ฐœ ๊ธฐ๊ฐ„ / Develop Period

2023-09-12 ~ 2023-12-07 (์•ฝ 3๊ฐœ์›” / nearly 3 months)

๐Ÿ–ฅ๏ธ ๊ฐœ๋ฐœ ํ™˜๊ฒฝ / Built with

์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค / UI

Pyqt5 : UI ๊ตฌํ˜„์„ ์œ„ํ•œ ํŒŒ์ด์ฌ GUI ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ

๊ธฐ๊ณ„ํ•™์Šต ๋ชจ๋ธ / Machine Learning model

  • ์ปจํ…์ธ  ๊ธฐ๋ฐ˜ ํ•„ํ„ฐ๋ง :
  • Content Based Filtering :

๐Ÿ“ค ๋ฒ„์ „๋ณ„ ์—…๋ฐ์ดํŠธ / Versioning

0.1.0 : ์ตœ์ดˆ ์—…๋ฐ์ดํŠธ / Initial Update

0.1.1 : AAA ๊ธฐ๋Šฅ ์ถ”๊ฐ€ ๋ฐ BBB์—์„œ์˜ ์ถฉ๋Œ ๋ฒ„๊ทธ ์ˆ˜์ • / Added AAA function & fixed Collision in BBB

0.1.2 : CCC์—์„œ์˜ ๋ฉˆ์ถค ๋ฒ„๊ทธ ์ˆ˜์ • / Fixed failing in CCC

๐Ÿ”Œ ํ”„๋กœ์ ํŠธ ์„ค์น˜ / Installation

๐Ÿ—๏ธ ํ•„์š” ์กฐ๊ฑด ๋ฐ ํ™˜๊ฒฝ / Prerequisites & Enviornment

aaa : v0.0.1

bbb : v12.1.2

ccc : v10.7.1

๐Ÿ–ฅ๏ธ ์„ค์น˜ / Installing

  1. aaaa
  2. bbbb
  3. cccc 3-1. ccccc 3-2. ccccc
  4. ddddd

โš ๏ธ ์„ค์น˜ ์‹œ ์œ ์˜ ์‚ฌํ•ญ / Note during Installing

ํ™”๋ฉด์—์„œ ์™„๋ฃŒ ์ฐฝ์ด ๋‚˜์˜ค๊ธฐ ์ „์—๋Š” ๋ธŒ๋ผ์šฐ์ €๋ฅผ ๋„์ง€ ๋งˆ์‹œ์˜ค!

Do NOT turn off the brower until display "Done"!

๐Ÿ ํ”„๋กœ์ ํŠธ ์‹คํ–‰ / Project Execution

๐Ÿ“ฃ ์‹คํ–‰ ์‹œ์ž‘ / Start Execution

  1. aaaa
  2. bbbb
  3. cccc 3-1. ccccc 3-2. ccccc
  4. ddddd

๐Ÿ” ํ”„๋กœ์ ํŠธ ๊ธฐ๋Šฅ / Function of Project

Function 1

This is function 1

Function 2

This is function 2

๐Ÿ“ ํ…Œ์ŠคํŠธ ๊ณผ์ • ๋ฐ ๊ฒฐ๊ณผ / Running Test & Result

๐Ÿ•๏ธ ํ…Œ์ŠคํŠธ ํ™˜๊ฒฝ / Test Enviornment

โ›ฐ๏ธ ํ…Œ์ŠคํŠธ ์‹คํ–‰ ํ™˜๊ฒฝ / Test Execution Enviornment

aaa : v0.0.1

bbb : v12.1.2

ccc : v10.7.1

๐Ÿ“Œ (ํ•˜์ดํผ) ํŒŒ๋ผ๋ฏธํ„ฐ ์„ค์ • / (Hyper) Parameter Setting

Epoch : 50

Learning Rate : 3e-5

Gradient : 2e-3

๐Ÿ“ ํ…Œ์ŠคํŠธ ํ‰๊ฐ€ ์ง€ํ‘œ / Index of test Evaluation

์ •ํ™•๋„ / Accuracy

Train : 89.1 %

Validation : 88.5%

Test : 88.8 %

F1 score

0.7

๐Ÿ’ณ ๋ผ์ด์„ผ์Šค / License

License from AAA

๐Ÿ™‡ ํ›„๊ธฐ / Acknowledgment

Thanks for AAA, BBB, CCC

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