Project Achievements

Here you can read more about FashionBrain dissemination activities, publications and reports, and on the prototypes and technologies developed in the project.

Quick Summary


Events Attended

Academic Events

Event
Type
Date
Project representative who attended
34th IEEE International Conference on Data Engineering Conference Apr. 16 – 19, 2018 Ying Zhang, Martin Kersten
11TH Extremely Large Databases Conference Conference Apr. 30 – May 2, 2018 Ying Zhang, Sjoerd Mullender
The sixth AAAI Conference on Human Computation and Crowdsourcing Conference July 5–8, 2018 Alessandro Checco, Gianluca Demartini
The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval Conference July 8-12, 2018 Gianluca Demartini
The fifth AAAI Conference on Human Computation and Crowdsourcing Conference October 24-26, 2017 Alessandro Checco
iConference 2018 Conference March 2018 Alessandro Checco
2017 Workshop on Hybrid Human-Machine Computing (HHMC 2017). Guildford, UK Workshop September 2017 Alessandro Checco
Machine learning meets fashion' workshop at KDD 2017 Workshop August 2017 Alessandro Checco
THE 3RD STRATEGIC WORKSHOP ON INFORMATION RETRIEVAL IN LORNE (SWIRL) Workshop February 2018 Gianluca Demartini
The 28th edition of the Australasian Database Conference, ADC 2017 Conference September 2017 Gianluca Demartini
Australasian Document Computing Symposium Conference December 2017 Gianluca Demartini
Digital Transformation & Global Society (DTGS 2018) Conference June 2017 Gianluca Demartini
2017 Conference on Empirical Methods on Natural Language Processing (EMNLP 2017) Conference September 2017 Alan Akbik, Duncan Blythe
ReWork Machine Learning Summit 2017 Seminar October 2017 Roland Vollgraf
Thirty-first Conference on Neural Information Processing Systems (NIPS 2017) Conference December 2017 Roland Vollgraf
11th Edition of the Language Resources and Evaluation Conference (LREC 2018) Conference May 2018 Alan Akbik
The 27th International Conference on Computational Linguistics (COLING 2018) Conference August 2018 Alan Akbik
LIBER Annual Conference (LIBER 2018) Conference July 2018 Alan Akbik
International Conference on Computer Vision (ICCV 2017) Conference October 2018 Marko Jocic, Matthias Dantone
CrowdBias 2018 Workshop July 2018 Alessandro Checo, Gianluca Demartini
IEEE BigComp2019 Conference March 2019 Alexander Löser (Tutorial Chair)
Second Workshop on Software Foundations for Data Interoperability Workshop February 2019 Alexander Löser (Chair)

Industry Events

Name of Industrial Event
Venue
Date/s
Big Data, Amsterdam v 6.0Funda, Amsterdam, NLJanuary 2017
Deep Learning for Text Mining Tasks , inovex GmbHHamburg, DEFebruary 2017
Mooc Artificial Intelligence, acatech, CEBITHannover, DEMarch 2017
ACM Distinguished Speaker talkAccenture LatviaApril 2017
Amsterdam Artificial Intelligence & Deep Learning (H2O & Booking.com)Booking.com, Amsterdam, NLApril 2017
Artificial Intelligence Day , Springer NatureBerlin, DEMay 2017
Panel debate Let's talk about Data Products, inovex GmbHCologne, DEMay 2017
Panel Debate Data Products Whats Next, inovex GmbHHamburg, DEMay 2017
"Deep Learning & AI" by Scyfer #1Impact Hub Amsterdam, NLMay 2017
CWI in BedrijfCWI Amsterdam, NLMay 2017
amst-R-dam Simple Imputation and Date Padding CWI Amsterdam, NLMay 2017
Data Products and ExchangeHasso Plattner Insititute, Potsdam, DEJune 2017
Text and data mining(TDM) workshop in European ParliamentBrussels, BEJune 2017
PyData Amsterdam: Data Science week edition @ Flow TradersFlow Traders, Amsterdam, NLJune 2017
Smart Cities 2.0 congresFigi Zeist, NLJune 2017
ADS Drinks & Pizza Summer StartupUvA, Amsterdam, NLJune 2017
ADS Coffee & Data: Visual AnalyticsUvA, Amsterdam, NLJuly 2017
"So how does Tensorflow work?", guest star Siraj RavalGoogle Netherlands, AmsterdamAugust 2017
New challenges in Reinforcement Learning: Dr. O. Vinyals (Google DeepMind)Amsterdam Science Park, NLSeptember 2017
Shoptalk EuropeCopenhagen, DKOctober 2017
European Big Data Value Forum 2017Paris, FRNovember 2017
Data Datives 2017Berlin, DENovember 2017
20e editie Data Donderdag - ING, NS, Growth Tribe, ValuemaatGoDataDriven, Amsterdam, NLNovember 2017
CWI Lectures on Machine LearningCWI Amsterdam, NLNovember 2017
ADS Festive Drinks & Data: 2017 Highlights & Looking Forward to 2018Amsterdam Business School, NLDecember 2017
Influx/DaysLondon, UKJanuary 2018
Handelsblatt goes future: Artifical Intelligence” Conference Munich, DEFebruary 2018
ProductTank Berlin , Data Products Mircosoft, Berlin, DEMarch 2018
SAP Conference on Machine LearningBerlin, DEMarch 2018
ShoptalkLas Vegas, USAMarch 2018
Federal Minisitry of Economics: German Finish Information Exchange Finish Embassy Berlin, DEApril 2018
Brussels TechSummit 2018Brussels, BEJune 2018
K5Berlin, DEJune 2018
AI Expo Europe 2018Amsterdam Rai, NLJune 2018
ADS Drinks & Data Summer StartupAmsterdam Business School, NLJune 2018
FashionTechBerlin, DEJuly 2018

Other Events

Event
Venue
Date/s
Project representative who attended
Type
Description
Data Science at ASOS.com ASOS.com HQ (London) August 2018 Paul Clough Presentation Presentation of FashionBrain and The University of Sheffield research in Data Science
Startup Qualifiction.com EXIST (BMWi) July 2017 Alexander Löser Startup fundation Text Mining for spotting bestsellers
Startup Beezdata.de BerlinStartupGrant January 2018 Alexander Löser Startup fundation Matching NGOs and Trusts
FashionBrain with projectstarling.com Online September 2018 Alessandro Checco Presentation Presentation of FashionBrain and collaboration plans
Crowdsourcing papers presentation University of Queensland October 2018 Alessandro Checco Presentation Presentation of FashionBrain research in Crowdsourcing

Publications

Academic Publications

Title
Authors
Venue
Type
Link
Date
Let's Agree to Disagree: Fixing Agreement Measures for CrowdsourcinginformationAlessandro Checco, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro and Gianluca DemartiniHCOMP 2017Conferencehttps://aaai.org/ocs/index.php/HCOMP/HCOMP17/paper/view/15927/15258October 2017
Understanding Engagement through Searching BehaviourMengdie Zhuang, Gianluca Demartini and Elaine TomsCIKM 2017ConferenceNovember 2017
Considering Assessor Agreement in IR EvaluationEddy Maddalena, Kevin Roitero, Gianluca Demartini and Stefano MizzaroICTIR 2017ConferenceOctober 2017
FashionBrain Project: A Vision for Understanding Europe's Fashion Data UniverseAlessandro Checco , Gianluca Demartini, Alexander Löser, Ines Arous, Matthias Dantone, Richard Koopmanschap, Svetlin Stalinov, Martin Kersten, Ying ZhangKDD Fashion 2017Workshophttps://www.overleaf.com/docs/rxrzrqhrwtkj/pdfAugust 2017
The Projector: An Interactive Annotation Projection Visualization ToolAlan Akbik and Roland VollgrafEMNLP 2017Conferencehttp://www.aclweb.org/anthology/D17-2008
ZAP: An Open-Source Multilingual Annotation Projection FrameworkAlan Akbik and Roland VollgrafLREC 2018Conferencehttp://www.lrec-conf.org/proceedings/lrec2018/pdf/301.pdfMay 2018
FEIDEGGER: A Multi-modal Corpus of Fashion Images and Descriptions in GermanLeonidas Lefakis, Alan Akbik and Roland VollgrafLREC 2018Conferencehttp://www.lrec-conf.org/proceedings/lrec2018/pdf/319.pdfMay 2018
Love at First Sight: MonetDB/TensorFlowRichard Koopmanschap, Ying Zhang and Martin KerstenICDE 2018Other
Love at First Sight: MonetDB/TensorFlowRichard Koopmanschap, Ying Zhang and Martin KerstenXLDB2018Other
In-Database Machine Learning with MonetDB/TensorFlow Richard Koopmanschap, Ying Zhang, Martin KerstenXLDB2018Other
On Fine-Grained Relevance ScalesKevin Roitero, Eddy Maddalena, Gianluca Demartini, and Stefano MizzaroSIGIR2018OtherJuly 2018
Investigating User Perception of Gender Bias in Image Search: The Role of SexismJahna Otterbacher, Alessandro Checco, Gianluca Demartini, and Paul CloughSIGIR2018ConferenceJuly 2018
On the Volatility of Commercial Search Engines and its Impact on Information Retrieval ResearchJimmy, Guido Zuccon, and Gianluca DemartiniSIGIR2018OtherJuly 2018
The Evolution of Power and Standard Wikidata Editors: Comparing Editing Behavior over Time to Predict Lifespan and Volume of EditsCristina Sarasua, Alessandro Checco, Gianluca Demartini, Djellel Difallah, Michael Feldman, and Lydia PintscherJournal of CSCWJournalJune 2018
An Introduction to Hybrid Human-Machine Information SystemsGianluca Demartini, Djellel Eddine Difallah, Ujwal Gadiraju, and Michele CatastaFoundation and Trends in Web ScienceOtherDecember 2017
All That Glitters is Gold - An Attack Scheme on Gold Questions in CrowdsourcingAlessandro Checco, Jo Bates, and Gianluca DemartiniHCOMP 2018Conferencehttps://aaai.org/ocs/index.php/HCOMP/HCOMP18/paper/view/17925/16904July 2018
Investigating Stability and Reliability of Crowdsourcing OutputRehab K. Qarout, Alessandro Checco, Kalina BontchevaCrowdBias 2018WorkshopJuly 2018
RelVis: Benchmarking OpenIE SystemsRudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, Alexander LöserISWC 2017ConferenceOctober 2017
Analysing Errors of Open Information Extraction SystemsRudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, Alexander LöserEMNLP 2017 WorkshopWorkshop
Contextual String Embeddings for Sequence LabelingAlan Akbik, Duncan Blythe and Roland VollgradCOLING 2018Conferencehttp://aclweb.org/anthology/C18-1139August 2018
All Those Wasted Hours: On Task Abandonment in CrowdsourcingLei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena and Gianluca DemartiniWSDM 2019ConferenceFebruary 2019

Press Releases/Newsletters

Name
Date
Type of Project Promotion
Link
HiPEAC news14/12/2017Online newshttps://www.hipeac.net/press/6829/ten-winners-selected-for-the-2017-hipeac-tech-transfer-awards/
HiPEAC info 5112/07/2017Magazinehttps://www.hipeac.net/assets/public/publications/newsletter/hipeacinfo51_final_corrected.pdf
Computer Weekly07/07/2017Online articlehttp://www.computerweekly.com/news/450422330/Dutch-database-design-drives-practical-innovation
HandelsblattOnline articlehttp://veranstaltungen.handelsblatt.com/kuenstliche-intelligenz/2018/03/03/ki-als-enabler/
Beuth-Magazin01/04/2017Cover Storyhttp://www.beuth-hochschule.de/fileadmin/oe/pressestelle/beuth-magazin/2017-1_beuth-magazin.pdf
The University of Sheffield01/05/2017Online articlehttps://www.sheffield.ac.uk/faculty/social-sciences/news/fashion-algorithm-future-trends-project-1.671380
The University of Sheffield15/11/2017Online articlehttps://www.sheffield.ac.uk/is/research/projects/fashionbrain

Presentations

FashionBrain Project Presentation

Dissemination Material

FashionBrain Project Poster

FashionBrain Project Leaflet

Lightening talk at XLDB 2018

FashionBrain description

IDEL In Database Entity Linkage

 

Prototypes and Technologies

Name
Date
Partner(s)
Type
Link
Description
In-Database Machine LearningApril 2018MDBSsoftwarehttps://github.com/MonetDBMonetDB-Tensorflow integration through SQL Python UDFs which allows executing machine learning tasks inside the kernel of the MonetDB RDBMS
MonetDB continuous query extensionMDBSsoftwarehttps://dev.monetdb.org/hg/MonetDB/shortlog/trailsMonetDB extended with a continuous query processing engine for IoT/Streaming data
RecovDBAugust 2018UNIFR, MDBSsoftwarehttp://revival.exascale.infoIntegration of UNIFR's CD-based technology with MonetDB for missing value recovery in time series
Agreement PhiAugust 2017USFDsoftwarehttp://agreement-measure.sheffield.ac.uk/Source code and live demo of a novel agreement measure for crowdsourcing
Crowdsourcing logging interfaceMay 2018USFDAPIhttps://github.com/AlessandroChecco/herokulogging/Append-only, ephemeral in-memory logging REST interface. https://fast-logging.herokuapp.com/
Gender bias datasetFebruary 2018USFDdatasethttps://github.com/AlessandroChecco/gender_biasDataset used in "Investigating User Bias in Image Search: A Cross-Regional Study". It contains 2,811 query-description comparisons for 281 different users.
Tasty Entity LinkageJune 2018BeuthAPIhttp://demo.datexis.com/tasty/Entity Linkage against Wikipedia

Deliverables

D1.1 Survey document of existing datasets and data integration solutions WP1 1 – USFD Report
D1.4 Software Requirements: SSM library for time series modelling and trend prediction WP1 4 – Zalando Report
D2.1 Named Entity Recognition and Linking Methods WP2 3 – UNI FRIBOURG Other
D2.3 Data integration solution WP2 6 – MDBS Other
D2.4 Time Series Operators for MonetDB WP2 6 – MDBS Other
D3.1 A set of crowdsourcing interfaces WP3 1 – USFD Other
D3.2 A set of aggregation algorithms and their experimental evaluation WP3 3 – UNI FRIBOURG Other
D3.3 Surveys Design and Crodsourcing Tasks<a/td> WP3 1 – USFD Report
D4.1 Report on text joins WP4 2 – BEUTH-HS Report
D4.2 Demo on text join WP4 2 – BEUTH-HS Demonstrator
D4.3 Relation Extraction with Stacked Deep Learning WP4 2 – BEUTH-HS Report
D4.4 Demo on Relation Extraction with Stacked Deep Learning WP4 2 – BEUTH-HS Demonstrator
D5.1 Scalable Crowdsourced Social Media Annotations WP5 5 – Fashwell Demonstrator
D5.2 Social Media Post Linking WP5 5 – Fashwell Demonstrator
D5.3 Early Demo on Fashion Trend Prediction WP5 3 – UNI FRIBOURG Demonstrator
D5.4 The Classification Algorithm and it’s Evaluation on Fashion Time Series WP5 3 – UNI FRIBOURG Other
D5.5 Demo on Fashion Trend Prediction WP5 3 – UNI FRIBOURG Demonstrator
D6.3 Early Demo on Textual Image Search WP6 4 – Zalando Demonstrator