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
06 Models for Use-Cases
Search
LiLa'16
March 20, 2016
Research
0
55
06 Models for Use-Cases
LiLa'16
March 20, 2016
Tweet
Share
More Decks by LiLa'16
See All by LiLa'16
01 Introduction
lila16ecir
0
76
02 Online Evaluation
lila16ecir
0
76
03 LL4IR Architecture
lila16ecir
0
62
04 Use-Cases
lila16ecir
0
69
05 API Interactions I.
lila16ecir
0
63
07 API Interactions II.
lila16ecir
0
54
08 Interpreting Feedback
lila16ecir
0
88
09 API Interactions III.
lila16ecir
0
50
10 Simulations
lila16ecir
0
74
Other Decks in Research
See All in Research
Computational OT #1 - Monge and Kantorovitch
gpeyre
0
180
クラウドのテレメトリーシステム研究動向2025年
yuukit
3
950
Type Theory as a Formal Basis of Natural Language Semantics
daikimatsuoka
1
220
AIによる画像認識技術の進化 -25年の技術変遷を振り返る-
hf149
6
3.4k
MGDSS:慣性式モーションキャプチャを用いたジェスチャによるドローンの操作 / ec75-yamauchi
yumulab
0
230
[輪講] SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
nk35jk
2
480
定性データ、どう活かす? 〜定性データのための分析基盤、はじめました〜 / How to utilize qualitative data? ~We have launched an analysis platform for qualitative data~
kaminashi
6
1k
When Submarine Cables Go Dark: Examining the Web Services Resilience Amid Global Internet Disruptions
irvin
0
200
利用シーンを意識した推薦システム〜SpotifyとAmazonの事例から〜
kuri8ive
1
200
NLP2025 WS Shared Task 文法誤り訂正部門 ehiMetrick
sugiyamaseiji
0
190
最適化と機械学習による問題解決
mickey_kubo
0
140
Trust No Bot? Forging Confidence in AI for Software Engineering
tomzimmermann
1
240
Featured
See All Featured
What's in a price? How to price your products and services
michaelherold
246
12k
Rebuilding a faster, lazier Slack
samanthasiow
82
9.1k
A designer walks into a library…
pauljervisheath
207
24k
Imperfection Machines: The Place of Print at Facebook
scottboms
267
13k
jQuery: Nuts, Bolts and Bling
dougneiner
63
7.8k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
8
670
Facilitating Awesome Meetings
lara
54
6.4k
Build your cross-platform service in a week with App Engine
jlugia
231
18k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
15
1.5k
Java REST API Framework Comparison - PWX 2021
mraible
31
8.6k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
107
19k
Producing Creativity
orderedlist
PRO
346
40k
Transcript
Anne Schuth (Blendle / University of Amsterdam, The Netherlands) Krisztian
Balog (University of Stavanger, Norway) Tutorial at ECIR 2016 in Padua, Italy Models for Use-Cases
Overview • Two use-cases • Product search • Academic literature
search • Simple shared approach • Fielded document representation
Baseline model • Single-field document retrieval • E.g., BM25 score
( d, q ) = X t2q ft,d · (1 + k1) ft,d + k1(1 b + b |d| avgdl ) · idft
Single-field document represenation • Using only product name field •
Using catchall field docid R-d3504 product_name LEGO DUPLO Kreatív láda 10817 docid R-d3504 catchall LEGO DUPLO Kreatív láda 10817 Építőjáték, LEGO LEGO Éld ki kreativitásod minden évszakban LEGO DUPLO elemekkel!
Fielded extension • Multi-field document retrieval, e.g., BM25F score (
d, q ) = X t2q ˜ ft,d k1 + ˜ ft,d · idft ˜ ft,d = X i wi ft,di Bi Combining term frequencies across fields Field weight Soft normalization for field i
Multi-field document representation docid R-d3504 product_name LEGO DUPLO Kreatív láda
10817 brand LEGO DUPLO short_description Éld ki kreativitásod minden évszakban LEGO DUPLO elemekkel! catchall LEGO DUPLO Kreatív láda 10817 Építőjáték, LEGO LEGO Éld ki kreativitásod minden évszakban LEGO DUPLO elemekkel!
Incorporating historical feedback • Combining historical score with retrieval score
• A simple approach: • or