Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
[email protected]
Search
Daniel Tseng
January 14, 2013
Programming
0
90
[email protected]
Daniel Tseng
January 14, 2013
Tweet
Share
More Decks by Daniel Tseng
See All by Daniel Tseng
What-I-saw-the-EC-trend
kpman
0
170
Uitox-global-EC-trend
kpman
0
140
NTU PreConf @NTU.IM
kpman
0
170
Install wordpress on EC2
kpman
0
340
ITC_Lab#
[email protected]
kpman
1
65
招生說明會@ITSEED
kpman
0
41
[email protected]
kpman
0
54
Other Decks in Programming
See All in Programming
令和最新版Android Studioで化石デバイス向けアプリを作る
arkw
0
430
実は歴史的なアップデートだと思う AWS Interconnect - multicloud
maroon1st
0
250
AIエンジニアリングのご紹介 / Introduction to AI Engineering
rkaga
8
3.2k
生成AI時代を勝ち抜くエンジニア組織マネジメント
coconala_engineer
0
310
大規模Cloud Native環境におけるFalcoの運用
owlinux1000
0
180
チームをチームにするEM
hitode909
0
370
tsgolintはいかにしてtypescript-goの非公開APIを呼び出しているのか
syumai
7
2.3k
Claude Codeの「Compacting Conversation」を体感50%減! CLAUDE.md + 8 Skills で挑むコンテキスト管理術
kmurahama
1
610
re:Invent 2025 のイケてるサービスを紹介する
maroon1st
0
150
Rediscover the Console - SymfonyCon Amsterdam 2025
chalasr
2
190
Python札幌 LT資料
t3tra
6
1k
AIエージェントの設計で注意するべきポイント6選
har1101
5
2k
Featured
See All Featured
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
359
30k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
65
Ruling the World: When Life Gets Gamed
codingconduct
0
94
YesSQL, Process and Tooling at Scale
rocio
174
15k
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
310
Designing for humans not robots
tammielis
254
26k
GraphQLとの向き合い方2022年版
quramy
50
14k
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
0
160
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
400
The #1 spot is gone: here's how to win anyway
tamaranovitovic
1
860
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
22k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
0
22
Transcript
IR final project -Food Type Parser 李維珣 曾建勳 江軍 2013.1
@NTU.IM
Agenda •Inspiration •Implementation •Demo •Future
Inspiration • Movie • Boy / Girl • Recipe
Inspiration • Movie • Boy / Girl • Recipe many
topic / title
Inspiration • Movie • Boy / Girl • Recipe many
topic / title bias / irony
Inspiration • Movie • Boy / Girl • Recipe many
topic / title bias / irony data / resource / interesting
Inspiration • Movie • Boy / Girl • Recipe many
topic / title bias / irony data / resource / interesting
Implementation
Implementation jsoup ->
Implementation jsoup icook.tw ->
Implementation jsoup icook.tw -> icook.tw/recipes/35822
Implementation jsoup icook.tw ->
Implementation jsoup icook.tw -> ->
Implementation jsoup icook.tw training data -> ->
Implementation jsoup icook.tw training data -> -> 500 docs ↑
Implementation -> labeling
Implementation -> labeling 義式
Implementation -> labeling 義式 法式
Implementation -> labeling 義式 法式 南洋
Implementation -> labeling 義式 法式 南洋 中式
Implementation -> labeling 義式 法式 南洋 中式 歐式
Implementation -> labeling 義式 法式 南洋 中式 歐式 美式
Implementation -> labeling 義式 法式 南洋 中式 歐式 美式 日式
Implementation -> labeling 義式 法式 南洋 中式 歐式 美式 日式
韓式
Implementation -> training data
Implementation -> training data mmseg4j
mmseg4j ?
mmseg4j 中式地瓜粥
mmseg4j 廣式 海鮮 粥
如果你有認真 聽我簡報的話
mmseg4j 中式地瓜粥
mmseg4j 中式 地瓜 粥
Implementation -> training data mmseg4j
Implementation -> training data mmseg4j ->
Implementation -> training data mmseg4j -> feature selection
Implementation -> training data mmseg4j -> feature selection LLR(log likelihood
ratio)
Implementation java servlet Apache Tomcat
Implementation ->
Implementation -> food name
Implementation -> food name url
Implementation -> food name url recipe
Implementation -> food name url recipe -> Naïve Bayes
Demo
Future precision increasing relative food suggestion
Q&A
Thank you