Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
09 API Interactions III.
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
LiLa'16
March 20, 2016
Research
0
52
09 API Interactions III.
LiLa'16
March 20, 2016
Tweet
Share
More Decks by LiLa'16
See All by LiLa'16
01 Introduction
lila16ecir
0
81
02 Online Evaluation
lila16ecir
0
88
03 LL4IR Architecture
lila16ecir
0
69
04 Use-Cases
lila16ecir
0
74
05 API Interactions I.
lila16ecir
0
64
06 Models for Use-Cases
lila16ecir
0
57
07 API Interactions II.
lila16ecir
0
57
08 Interpreting Feedback
lila16ecir
0
110
10 Simulations
lila16ecir
0
79
Other Decks in Research
See All in Research
When Learned Data Structures Meet Computer Vision
matsui_528
1
2.8k
Akamaiのキャッシュ効率を支えるAdaptSizeについての論文を読んでみた
bootjp
1
440
第二言語習得研究における 明示的・暗示的知識の再検討:この分類は何に役に立つか,何に役に立たないか
tam07pb915
0
1.1k
"主観で終わらせない"定性データ活用 ― プロダクトディスカバリーを加速させるインサイトマネジメント / Utilizing qualitative data that "doesn't end with subjectivity" - Insight management that accelerates product discovery
kaminashi
15
20k
Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning
satai
3
480
LLMアプリケーションの透明性について
fufufukakaka
0
130
2026.01ウェビナー資料
elith
0
210
LiDARセキュリティ最前線(2025年)
kentaroy47
0
130
AIスパコン「さくらONE」の オブザーバビリティ / Observability for AI Supercomputer SAKURAONE
yuukit
2
1.2k
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
66
37k
Grounding Text Complexity Control in Defined Linguistic Difficulty [Keynote@*SEM2025]
yukiar
0
110
AI in Enterprises - Java and Open Source to the Rescue
ivargrimstad
0
1.1k
Featured
See All Featured
Believing is Seeing
oripsolob
1
55
What Being in a Rock Band Can Teach Us About Real World SEO
427marketing
0
170
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
60
42k
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
62
50k
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3.1k
Rails Girls Zürich Keynote
gr2m
96
14k
Test your architecture with Archunit
thirion
1
2.2k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.2k
KATA
mclloyd
PRO
34
15k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
170
Transcript
Anne Schuth (Blendle / University of Amsterdam, The Netherlands) Krisztian
Balog (University of Stavanger, Norway) Tutorial at ECIR 2016 in Padua, Italy API Interactions III.
Outline for API interactions • Obtaining an API key and
signing up for a site • Getting queries and candidate items • Generating and uploading rankings • Obtaining feedback and outcome
Feedback endpoint • GET /api/participant/feedback/(key)/ (qid)[/(runid)] • Returns feedback for
this user on this query • runid is optional • qid can be “all”
Feedback endpoint { "feedback": [ {"qid": "S-q1", "runid": "baseline", "modified_time":
"Sun, 27 Apr 2014 13:46:00 -0000", "doclist": [ { "clicked": false, "docid": "R-d89", "team": "participant" }, { "clicked": false, "docid": "R-d87", "team": "site" }, { "clicked": true, "docid": "R-d88", "team": "site" }, ...
Outcome endpoint • GET /api/participant/outcome/(key)/ (qid) • Returns outcome for
this user on this query • Outcomes are aggregated per test period • qid can be “all”
Outcome endpoint { "outcomes": [ { "impressions": 661, "losses": 103,
"outcome": 0.4690721649484536, "qid": "all", "site_id": "R", "test_period": { "end": "Sat, 16 May 2015 00:00:00 -0000", "name": "CLEF LL4IR Round #1", "start": "Fri, 01 May 2015 00:00:00 -0000" }, "ties": 467, "type": "test", "wins": 91 }, ... ] }
Exercise • Complete 03_feedback.py to obtain feedback and outcome for
the queries from the run(s) you submitted in exercise #2
What to do with this feedback? • You figure it
out… • (That might be your next paper)