It's a powerful version of linebot

Last update: Oct 17, 2022

Related tags

Deep Learning linbot_richmenus

Overview

CTPS-FINAL

Linbot-sever.py

主程式

Algorithm.py

推薦演算法，媒合餐廳端資料與顧客端資料

config.ini

儲存 channel-access-token、channel-secret 資料

Preface

生活在成大將近4年，我們每天的午餐時間看著形形色色的店家，看似玲瑯滿目卻都吃膩了，中午覓食已經從期待變成壓力，每天問著「待會吃什麼?」，然後花費大量時間和心力，還是不知道要午餐吃什麼。因此我們希望運用Computational Thinking and Problem Solving 的思維，幫助大家解決這個困擾已久的問題。

Problem Definition

My target problem - 解決成大師生不知道午餐吃什麼的困擾?

Problem Decomposition

人：成大師生
事:午餐煩惱
時：週一到週五 11點 ~ 14點
地：成大周遭 1.5km 以內距離
constrain : 交通限制(交通工具)、店家營業時間限制、用戶人數(餐廳是否能容納)、預計等待及用餐時間

Pattern Recognition

大家通常到正餐時間才會想要吃甚麼
大家移動的距離有限，如果下午1點還有課，就會在學校附近用餐
同類型食物太頻繁吃會吃膩
學生會考慮cp值(有價格區間考量)
如果店家以人潮眾多就傾向換一間店家
會因為天氣而影響選擇(例如很熱，就會找有冷氣的餐廳)
朋友或認識的同學會一起用餐

Abstraction

(把Problem Decomposition的細項問題化)

店家資料
- 1. 如何取得店家資料?
- 1. 如何確保店家資料即時性?
用戶資料
- 1. 如何取得用戶資料?
- 1. 如何做到使用者優化?
演算法
- 1. 如何根據實際狀況設計演算法
- 1. 怎麼測試演算法結果是否符合用戶需求
訊息回推
- 1. 用什麼管道回送推薦清單
- 1. 介面如何優化
- 1. 怎麼得知用戶實際使用情況

Algorithm

店家資料
- 如何取得店家資料?
  - 利用 google maps 爬蟲
  - 實地探索(地點限制在成大周圍，所以有一定可行性)
- 如何確保店家資料即時性?
  - 設計用戶回報機制
  - 定期網路爬蟲
用戶資料
- 如何取得用戶資料?
  - 利用 linbot 與使用者溝通，取得使用者需求
- 如何做到使用者優化?
  - 利用 richmenus 串接 linbot，藉由圖文選單輸入
演算法
- 如何根據實際狀況設計演算法
  - 找外在生活條件(例如 : 天氣很熱，那冷氣的需求權重就提高一點)
- 怎麼測試演算法結果是否符合用戶需求
  - 請朋友實際使用，並根據意見做出修改
訊息回推
- 用什麼管道回送推薦清單
  - Linebot
- 介面如何優化
  - 建置模板按鈕，讓畫面看起來乾淨一點
- 怎麼得知用戶實際使用情況
  - 設計用戶評分機制
  - 根據用戶評分或意見，進行修正

Solution Proposal

final report ppt & demo

References

Final Project Template

Owner

GitHub Repository

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