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
Framework for Multi-Agent Simulation of User Be...
Search
Duarte Duarte
December 03, 2015
Research
0
150
Framework for Multi-Agent Simulation of User Behaviour in E-Commerce Sites (Intro)
Initial presentation of the preparation of my MSc dissertation
Duarte Duarte
December 03, 2015
Tweet
Share
More Decks by Duarte Duarte
See All by Duarte Duarte
Semgrep: The Open Source Tool for Finding Vulnerable Code
dduarte
0
71
Framework for Multi-Agent Simulation of User Behaviour in E-Commerce Sites (2nd Intro)
dduarte
1
200
Smart Cities - Talk A Bit
dduarte
0
48
Smart Cities (Intro)
dduarte
0
39
Final presentation of D•Bug
dduarte
0
73
Erlang
dduarte
4
95
Intermediate presentation of D•Bug
dduarte
0
50
Pipes and Filters
dduarte
0
41
Picking & Putaway
dduarte
0
50
Other Decks in Research
See All in Research
集合間Bregmanダイバージェンスと置換不変NNによるその学習
wasyro
0
110
数理最適化に基づく制御
mickey_kubo
5
680
大規模な2値整数計画問題に対する 効率的な重み付き局所探索法
mickey_kubo
1
270
データxデジタルマップで拓く ミラノ発・地域共創最前線
mapconcierge4agu
0
190
プロシェアリング白書2025_PROSHARING_REPORT_2025
circulation
1
900
最適決定木を用いた処方的価格最適化
mickey_kubo
4
1.7k
2025年度人工知能学会全国大会チュートリアル講演「深層基盤モデルの数理」
taiji_suzuki
24
16k
在庫管理のための機械学習と最適化の融合
mickey_kubo
3
1.1k
「エージェントって何?」から「実際の開発現場で役立つ考え方やベストプラクティス」まで
mickey_kubo
0
120
Mechanistic Interpretability:解釈可能性研究の新たな潮流
koshiro_aoki
1
320
Self-supervised audiovisual representation learning for remote sensing data
satai
3
230
A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis
satai
3
230
Featured
See All Featured
The Cult of Friendly URLs
andyhume
79
6.5k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
331
22k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.7k
KATA
mclloyd
30
14k
The Straight Up "How To Draw Better" Workshop
denniskardys
235
140k
Why You Should Never Use an ORM
jnunemaker
PRO
58
9.4k
The Invisible Side of Design
smashingmag
301
51k
GraphQLとの向き合い方2022年版
quramy
49
14k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
46
9.6k
Building Adaptive Systems
keathley
43
2.7k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
251
21k
How to Think Like a Performance Engineer
csswizardry
25
1.7k
Transcript
FRAMEWORK FOR MULTI-AGENT SIMULATION OF USER BEHAVIOUR IN E-COMMERCE SITES
Supervisors Hugo Sereno Ferreira João Azevedo Author Duarte Duarte 2015-12-08 1
Context • Customers interact with e-commerce websites in different ways
• Companies want to optimize success metrics (CTR, CPC, …) for profit • Changing what, how and when content (ads, recommendations, …) is displayed influences customers’ interactions 2015-12-08 2 ? ?
2015-12-08 3
Context • Summarizing and analysing this behaviour is expensive, hard,
tricky, … • Data scientists need to resort to online techniques with a high operational cost 2015-12-08 4 A/B testing multi-armed bandit optimization others
Towards a solution 2015-12-08 5 usage + personas structure content
evaluation of e-commerce success metrics multi-agent simulation (Bayesian networks, Markov chains, …) input
Why? • Evaluation of “what-if” scenarios by data scientists •
Recommendation engines • Ad placement/relevance • Segmentation and targeting • Novelty 2015-12-08 6
Q & A Thank you! 2015-12-08 7