1st International ‘Alan Turing’ Conference on Decision Support and Recommender Systems (DSRS-Turing 2019)

1st International ‘Alan Turing’ Conference on Decision Support and Recommender Systems (DSRS-Turing 2019)

https://dsrs-turing.github.io

London, UK. 21-22 November 2019

Decision Making processes constantly occur in our daily lives, both at an individual, collective and large-scale societal level. Even for machines and AI systems, making autonomous and rational decisions has nowadays become part of their core duties. Decision making often occurs amid highly dynamic, uncertain and data-pervaded scenarios, thereby becoming increasingly complex. This conference based in the UK’s Alan Turing Institute brings together international researchers, industry professionals and domain experts to discuss latest trends and ongoing challenges in:

  • Human and AI-driven complex decision making, e.g. group and multi-criteria decision-making.
  • Role of Machine Learning and Data-Driven AI techniques in supporting decisions.
  • Recommender Systems as tools for personalised decision support.
  • Interdisciplinary applications of decision making, decision support and personalisation: management, health and wellbeing, smart cities and urban planning, sustainability, government, leisure and tourism, networking and recruitment, etc.

The event particularly aims at exploring the existing – or potential – interaction between various AI techniques and applications, and state-of-the-art decision support and recommendation approaches. Young researchers (PhD students, postdocs) are particularly encouraged to attend for an opportunity to network with – and receive advice from – leading experts in the field.

 

Topics of Interest

 

Students, researchers and professionals with interest or expertise in the following topics are encouraged to attend:

  • Decision Support Systems: Theoretical Foundations, Models, Implementations and Applications
  • Recommender Systems: Theoretical Foundations, Models, Algorithms, Implementations, Evaluation and Applications
  • Decision-making, Decision Support and Personalisation based on…
    • Machine Learning
    • Data Analysis and Data Fusion
    • Expert and Information Systems, Knowledge-based Systems
    • Group and Multi-Criteria Decision Analysis
    • Context-Aware Recommendation
    • Reciprocal Recommender Systems
    • Artificial Intelligence Methods
    • Evolutionary Algorithms
    • Computer Vision
    • Natural Language Processing and Text Mining
    • Social Network Analysis
    • Financial Technologies
    • Robotics, Autonomous and Multi-Agent Systems
    • Fuzzy Systems and Uncertainty Modelling
    • Urban Analytics, Smart Cities and IoT
    • Fairness, Explainability, Privacy and Ethics
  • Applications: Security, Health & Wellbeing, Environment, Impact, Government, Smart Cities, Manufacturing, Tourism and Leisure…

 

Speakers

Professor Francisco Herrera

Professor Francisco Herrera

University of Granada (Spain)

Title: Video Surveillance and Weapon Detection with Deep Learning

Professor Peter A Flach

Professor Peter Flach

University of Bristol; The Alan Turing Institute (United Kingdom)

Title: Will be available soon…

Professor Mounia Lalmas

Professor Mounia Lalmas

Spotify (United Kingdom)

Title: Personalising the Listening Experience

Dr Christoph Trattner

Dr Christoph Trattner

University of Bergen (Norway)

Title: Computational Analytics on the Web for Better Food Decision Making

Dr Julia Neidhardt

Dr Julia Neidhardt

TU Wien (Austria)

Title: Recommender Systems and Decision-making in the Tourism Domain .

Dr Matthijs Spaan

TU Delft (Netherlands)

Title: TBD.

 

Submission

Young researchers are invited to submit extended abstracts in English.

  • Any submissions within the scope of the Topics of Interest list are welcome.
  • We recommend a maximum of 4 pages in single column formatting, please use the conference Template for preparing your submission (Download Template).
  • The submission of the extended abstracts is intended for young researchers: PhD students, postdocs or academics/scientists who received their PhD on or after 2014.
  • Authors of accepted abstracts will be invited to showcase a poster – and optionally to present a demo – of their work, to network with and receive feedback from senior experts and attendees in general. Some selected authors will be also invited to deliver an 8-minute Flash Talk at a conference session.
  • The submission and acceptance of an extended abstract are not requirements for attendance. This conference is open for registration by any delegates from across the Turing Institute and abroad.

After evaluation, notification of acceptance will be provided to authors via email. Please note that the full submissions will not be published, but plans are underway to ellaborate a mini-proceedings booklet with short abstracts of accepted works.

Submission system now open! Submit your extended abstract here

Important dates

  • Submission of Extended Abstracts: 1st September 2019
  • Registration opens:September 2019
  • Notification of acceptance of Extended Abstracts: 14th September 2019
  • Registration closes: 31st October 2019
  • DSRS-Turing Conference: 21-22nd November 2019

Registration will be available through the event page in the Alan Turing Institute website

For enquiries, please contact us at:dsrs.turing@gmail.com

Looking forward to see you next November in London!

Ivan Palomares speaks and is interviewed at Search-Star’19 conference (Bath, UK)

The SearchStar 2019 conference on Analytics of Conversion was held in Bath last 27th June, organised by Search Star , an UK-based company founded in 2005 and focused on advancing digital strategies for marketing and advertisement.

Ivan Palomares from DSRS was one of the speakers at the event, where he delivered the talk Personalisation & Recommender Systems: Perspectives and Challenges.

Image

A summary of the conference, including Ivan’s talk, was published in Search Star blog:

Iván offered his audience an insight into the revolutionary world of recommender systems and the role it will play in consumer choice in the future. Iván started by presenting the audience with a problem – ‘you want to buy a new book.’ Twenty years ago, we would have gone to a neighbourhood bookshop to ask for a recommendation. Nowadays, with the same question, we turn to the internet and are instantly overwhelmed by an extensive amount of results.
What’s the solution? Personalistion through recommender systems. These are evolutionary algorithms designed to provide tailored content to the user, by extracting knowledge about your preferences from previous choices and choices of similar users. If you’ve ever listened to songs on Spotify or bought from Amazon, then these recorded decisions are used to inform these systems about your preferences.
There are many techniques used to tailor these recommendations; you could either be served results based on your demographic, where you are at a certain time and the opening hours of the shops around you (context-aware), or choosing a selection of restaurants based on the reasoning that people with similar interests to you also enjoyed those restaurants (collaborative filtering).
There are challenges to this approach, specifically when they come across a ‘cold user,’ where they lack information on their preferences, or the essential requirement to combine multiple views and sources of user data.
We also had a significant question from the audience regarding data privacy, however Iván responded that all data used to make the recommendations are information that the user has provided either explicitly or implicitly, and it is on the usage of implicit user data where privacy and ethics concerns really come into scene.

Our team member was also interviewed prior to his talk. You can read the interview, entitled ‘What are Recommender Systems?’, here

Zijian Shi – Congratulations and Future Welcome to Bristol and DSRS!

Zijian Shi, our upcoming DSRS researcher

We are pleased to congratulate Mr Zijian Shi, who has obtained a prestigious UK-China PhD scholarship from the China Scholarship Council (CSC) to initiate his PhD studies at the University of Bristol, with the DSRS Lab, after summer 2019.

Zijian has  international experience studying abroad, having received two Masters’ Degrees: one on Management Sciences and Engineering from Tianjin University (China), one of our lab’s international collaborators and a top Chinese university; as well as one on Finance from The University of Texas at Dallas (United States).

Zijian has gained research expertise in decision support systems applied to financial analytics, and he has prior experience in scientific publications, e.g. an authored article resulting from Tianjin University’s collaborations with DSRS, published in the high-impact journal Knowledge-based Systems.

We look forward to welcome you to DSRS soon!

Professor Xueqing Wang (bottom center) and her lab at Tianjin University, with Zijian Shi sitting to the right.

DSRS and Bristol’s Jean Golding Institute organise RESULTS Interdisciplinary workshop – 23rd May 2019

RESULTS: REcommender Systems for engaging Users with healthy Living habiTS

The DSRS research group is organising an exciting interdisciplinary workshop, as part of the 2019 Data Week celebrated next May at Bristol’s Jean Golding Institute. See below for event information and our three confirmed speakers’ profile.

Registrationregister for this event via Eventbrite (PLACES LIMITED)

Event enquiries: Please contact Iván Palomares Carrascosa, workshop chair, for any event-related enquiries: i.palomares (at) bristol.ac.uk

Overview 

This workshop is aimed at researchers, students, academics and practitioners across the Turing network of UK universities and beyond, as well as members of related industry sectors. 

There will be a discussion forum on the challenges and opportunities of personalisation approaches, data-driven Decision Support and Recommender Systems (RecSys) in the areas of fitness, wellbeing and promoting healthy living. We seek to bring together experts across the disciplines of Data Science, Decision Support and AI, Medical Sciences, Data Ethics, Psychology and Behavioural Sciences, Nutrition and Sports/Physical Activity.  

Event focus 

  1. Connecting experts across disciplines (health, nutrition and sport, etc.) with scientists in Data Science/AI and industry, to put forward potential solutions to unaddressed challenges involving personalisation and/or decision support 
  1. Data ethics implications and user data protection regulations in personalized healthcare and wellbeing.  

Participants with ongoing research activity on decision support approaches or RecSys for the health and wellbeing domains are encouraged to bring their laptops to showcase or discuss their results with experts in the field. 

Talks 

Daniele Quercia, King’s College London & Nokia Bell Labs.

Healthy Cities: Tracking Population Health from Grocery Bags and Smart Watches 

Quercia,DanieleBio: Daniele Quercia is with the Department Head of Social Dynamics at Nokia Bell Labs Cambridge (UK) and Professor of Urban Informatics at the Center for Urban Science and Progress (CUSP) at King’s College London. He has been named one of Fortune magazine’s 2014 Data All-Stars, and spoke about “happy maps” at TED. His research has been focusing in the area of urban informatics and received best paper awards from Ubicomp 2014 and from ICWSM 2015, and an honourable mention from ICWSM 2013. He was Research Scientist at Yahoo Labs, a Horizon senior researcher at the University of Cambridge, and Postdoctoral Associate at the department of Urban Studies and Planning at MIT. He received his PhD from UC London. His thesis was sponsored by Microsoft Research and was nominated for BCS Best British PhD dissertation in Computer Science. 

Abstract: We will see how to aggregate both readings from consumer wearable devices and records of food purchases to track people’s well-being at scale. From 11,600 Nokia Health wearables, we collected readings of steps, sleep, and heart rate in the entire cities of London and San Francisco over the course of 1 year. Christmas and New Year’s eve were associated only with short-lived and minor disruptions, while both Brexit and Trump’s election greatly impacted people’s sleep and even heart rates. Then, for another entire year in London, we studied the association between food purchases in grocery stores, as measured by the digital traces of customer loyalty cards, and consumption of medicines. Our results show that analytics of digital records of grocery purchases can be used as a cheap and scalable tool for health surveillance: the distribution of the food nutrients is far more predictive of food-related illnesses (e.g. diabetes) than socio-economic conditions. 

Morgan Harvey, Northumbria University.

Balancing the Healthy with the Tasty: Recommending Nutritious Food that People Will Actually Want to Eat 

Morgan HarveyBio: Morgan Harvey is a Senior Lecturer of information science in the Department of Computer and Information Sciences at Northumbria University, Newcastle. He has been conducting research in the fields of information behaviour and retrieval and recommender systems for over a decade and has published over 50 peer-reviewed conference papers and journal articles, including in ACM SIGIR, ACM CIKM and ACM RecSys. Morgan received his PhD from the University of Strathclyde under the supervision of Prof. Ian Ruthven and has worked as a researcher at the University of Erlangen-Nuremberg in Germany and the University of Lugano in Switzerland. 

Abstract: Poor dietary habits are a major cause of today’s world health problems, especially in the developed world. Evidence shows that such issues can be prevented and sometimes even reversed through good nutrition, however, people are often very poor at judging the healthiness of their own diet and need support to implement positive changes. Computer and information technology, and particularly recommender systems, have been suggested as potential solutions to some of these problems but much of the necessary work is yet to be done. This talk will discuss existing research on the problem of recipe recommendation, the difficulty of finding a balance between healthy and enjoyable choices and early work investigating how people can be “nudged” into making healthier food choices. 

Max Western, University of Bath

Multidimensional physical activity: using the right data from wearable fitness trackers and providing the right feedback

Photo of Max WesternBio: Max is a lecturer in behavioural science within the Department for Health at the University of Bath. He has keen research interests in the factors that influence and facilitate health-enhancing physical activity behaviour, the application of digital health technologies for measurement and intervention and healthy ageing. In recent years Max has worked on several large lifestyle-based intervention trials funded by the MRC and NIHR. Specifically, he has helped develop and evaluate interdisciplinary projects aimed at reducing risk of future chronic disease using wearable monitoring technology to provide feedback on multidimensional physical activity; combatting physical frailty in older age through a community-based physical activity programme; and reducing the decline in cognitive function in older adults with mild-cognitive impairment using a digital web-based behaviour change intervention.

Abstract:  The benefits of regular physical activity behaviour on physical function and health are well documented and it is apparent that there are multiple dimensions to physical activity are important. The accurate measurement of physical activity is key to understanding the relationship between behaviour and health, providing credible feedback to participants and judging the success of behaviour change interventions aimed at increasing levels. Accelerometers are popularised as being the most objective and accurate format of assessment. This talk will draw on research data to discuss the strengths and limitations to their current use, such as their (in)appropriateness for comparisons with public health guidelines and the interpretation of what counts as physical activity, and propose solutions to these issues that should guide future applications of these measurement devices.

Event co-sponsored by: Jean Golding Institute for Data-Intensive Research, University of Bristol, and Bristol’s Intelligent Systems Lab

Bristol’s Jean Golding Institute interviews Iván Palomares

This week, we had the pleasure of being interviewed by the Jean Golding Institute for Data-Intensive Research at our University. The Institute started a new series of interview posts in their blog, where the newly appointed Turing Fellows with the Alan Turing Institute are introduced: the first interview features Iván Palomares Carrascosa. You can read it here

IEEE Smart-PDS Workshop in Leicester, UK – Call for Papers

1st International Workshop on Personalisation and Decision Support for Citizen Service Enhancement at Scale (IEEE Smart-PDS 2019)

https://smart-pds.github.io/

Leicester, UK. 19-23 August 2019

Related image

We are pleased to chair a co-located workshop with the 2019 IEEE Smart World Congress and the 3rd IEEE Conference on Smart City Innovations (IEEE SCI 2019) will be held in Leicester, United Kingdom, between 19th 23rd August, 2019.

The workshop aims at attracting demonstrations of novel research to tackle challenges faced in smart cities, with a particular focus on Big Data-driven user personalisation and large-scale decision-making problems. Research topics include applications, techniques and methods with or without case studies, related to personalisation applications of hybrid and context-aware recommender systems, solving the cold-start problem in smart city contexts, preference elicitation and its integration with Big Data, multi-criteria and group decision support systems at scale.

Researchers and practitioners working in different fields are encouraged to submit their research contributions and ideas in addition to demonstrators and visual materials such as posters.

Topics of Interest

This workshop covers contributions describing recent advances related to personalisation, recommender systems, as well as data-driven and multi-criteria decision making approaches at large scale, to improve citizen and visitor services in highly connected and data pervaded Smart City settings.

Particular topics of interest include (but are not limited to) the following:

Smart city challenges and applications:

  • e-governance
  • tourism
  • leisure
  • socialising
  • health and wellbeing
  • sustainable cities
  • participatory democracy,

… involving:

Large-group decision making

Multi-criteria decision analysis models

User preference modelling and preference aggregation

Context-aware recommender systems

Group recommender systems

AI/Machine Learning approaches for recommendation and decision support

Big Data technologies in personalisation and decision support approaches

Sensor data fusion and uncertainty handling

Role of the IoT in personalisation and decision support services

Ethical and legal aspects of data-driven personalisation and decision support 

Important dates

Paper submission due: April 26, 2019

Notification of acceptance: May 10, 2019

Camera-ready papers due: May 19, 2019

 

For further info and submission instructions, please visit the workshop website

We look forward to see you in Leicester next summer! 🙂

Iván and Ercan, workshop chairs

Warm weather, kind people, mesmerising heritage: DSRS Research Group is in Andalusia, Spain, a pay back visit to where our founder was born

DSRS group is on the move again, since our last participation to DMRS workshop recently, we prepared for another visit to Spain in its most beautiful south coast and ancient city Granada. We started our trip with a convenient 3 hours flight from Bristol to Malaga following another trip from Malaga to Granada. We didn’t just trespass Malaga, but had some time to enjoy the sun and local cuisine, e.g. paella and fried fish, in “Costa del Sol“.

We firstly visited the University of Granada, where Professor Francisco Herrera – director of the DASCI Andalusian Institute for Data Science and Computational Intelligence – and his team warmly welcomed us. It is noteworthy that Prof. Herrera, a worldwide renowned expert in Data Science, AI and Fuzzy Decision Making research, has been collaborating and publishing research results with DSRS’s Ivan Palomares, during his PhD studies on Large Group Decision Making and Consensus Processes a few years ago. After networking with our host, we participated in a Seminar on Decision Making and Recommender Systems (yes, almost namesake with our group name!) organised by the host institution, with the following speakers and talks:

  • Ivan Palomares: Decision Support and Recommender Systems Lab in Bristol: our projects
  • Ercan Ezin: Intro to recommender systems and context-aware recommendation in Smart Cities
  • James Neve: Reciprocal User-to-User Recommender Systems
  • Xiaoli Tian: Phd project -The consensus models under bounded rationality with hybrid information. Application in venture capital
  • Tong Wu: Phd project – Interval type -2 fuzzy large scale group decision  making models and their applications on social  commerce recommendation
  • Cristina Zuheros (Tentative): Phd project – Computing with Words in large Scale group decision making and  Social Networks.

Some pictures of the seminar (courtesy of DaSCI twitter account):

It was great to see experts and former colleagues in these areas of research, such as Javier Cabrerizo, Juan Antonio Morente-Molinera, Rosana Montes, etc.

Left to right: Binyamin Yusoff, James neve, Ivan Palomares, Francisco Herrera (UGR), Ercan Ezin and Javier Cabrerizo (UGR)

It was an intense yet very exciting day of work abroad, so we had to end it with a majestic dinner in the Albayzin heritage area, in front of the Alhambra! (for those interested, the restaurant is called Carmen El Agua: thanks Dr Montes for the recommendation!)

Group dinner in front of the Alhambra Palace

On Tuesday 18th December, we headed to the neighbouring province and city of Jaén (Ivan’s birthplace province), where we visited Dr Macarena Espinilla, former colleague of Ivan during their PhD studies. Dr Espinilla has founded and currently leads in Jaén the Ambient Intelligent Lab (UJAMI), with researchers and collaborations with universities and organisations across Europe. We had a good glimpse of the smart home Lab and the research activities and challenges being currently investigated by UJAMI team members. We look forward for a future collaboration between UJAMI-DSRS!

Delightful re-encounter between old friends 🙂 meeting with Dr Macarena Espinilla, leader of the Ambient Intelligence Lab, at the University of Jaén

 

After the series of activities in Granada, we still had some time towards the end of the week to enjoy the Andalusian culture and scenery: attending a live flamenco show in a gipsy cave, touring around the city for tapas and local specialities in the St Agustin’s Market, hiking in the impressive “Cahorros de Monachil” and, of course, paying a half day visit to the Alhambra! It was a great wrap-up of 2018 for us in DSRS, and a nice prelude to Christmas break celebrations.

DSRS Research Group Members participated 3rd international workshop on DMRS in Italy, Bolzano

International Workshop on Decision Making and Recommender Systems

It is really exciting to share some info about our recent participation to an event that gathers many pioneers together in a lovely, authentic university campus for two days.
The 3rd International Workshop on Decision Making and Recommender Systems (DMRS 2018) is an event organized by four members of Free University of Bozen-Bolzano and attracted more than 40 people around the world for two days of full of seminars and discussions on Decision Making and Recommender Systems. Three members of the DSRS research group traveled through lovely Alpine landscape to the authentic city of Bolzano where a blend of two cultures gave the place a unique atmosphere.

First Day of the workshop was very insightful and had witnessed strong debates on some presentations. First day presenters were;

Natali Helberger, the University of Amsterdam, The Netherlands

Talk Title: Diversity: a concept with a mission, and what that means for diverse recommender design 


Aristides Gionis, Aalto University, Finland

Talk Title: Diversity maximization in social networks


Allison Stanger, Middlebury College, USA

Talk Title: Is Algorithmic Justice an Oxymoron?


Paul Resnick, University of Michigan, USA

Talk Title: Platform Health Metrics

Following the first day presentations, we joined dinner at a warm and friendly Austrian style bar to meet other attendees.

The Second day of the workshop was also remarkable as we listened to two very fascinating presentations covering research areas of all members of our research groups.

First Presenter was,

Daniele Quercia, Bell Labs, Cambridge, UK

Talk Title: Good City Life


Second presenter was,

 Ariel Rosenfeld, Weizmann Institute of Science, Israel

Talk Title: Predicting Human Decision-Making: From Prediction to Recommendation

 

We must note that the studies done by Dr. Quercia about most pleasant city routes in London show the power of open data and crowdsourcing methods. Additionally, Dr. Rosenfeld’s acting skills were remarkable and made his talk enjoyable.

Last but not least, we had an opportunity to showcase our latest research development platform during the coffee breaks to get some feedback.

Our extended abstract titled as “Group decision making with recommendations ‘in the loop’: application to trip planning through video watching” has received funding from Bristol University Alumni Foundation to be shown in this event.

Finally,  two days of full of amazing debates and information exchange along with delicious Italian-Austrian cuisine following a nice dinner in a local Toscana-styled restaurant have left good memories in Bolzano and we moved to Venice to see a floating city before our flight next day.

 

Some pictures taken during our Bolzano trip are here:

 

New Book From DSRS Founder- Large Group Decision Making:Creating Decision Support Approaches at Scale

We would like to finally announce that new book from our research group founder has been published and can be reached from publisher’s website.

The book takes a pionerring appproach to be a reference for important trends such as consensus support, fusion and weighting of relevant decision information, subgroup clustering, behavior management, and implementation of decision support systems, among others.

Nevertheless, a review and principles of the classical approach to challenges and difficulties in large decision groups, families of techniques, and newly related disciplines to Large-Group Decision Making are discussed.

Finally, existing and future works have been highlighted in this novel topic.

Please click the cover below to find the book on Springer:

I hope you enjoy it and please do not to hesitate to get in touch with Dr. Palomares Carrascosa for a feedback or update about the book.

Best Regards

Ercan

Ercan Ezin – 1st place Award in 2018 Bristol Data Jam and Hackaton

Congratulations to DSRS’s Ercan Ezin: after a restless and highly devoted weekend at the 2018 Bristol Data Jam and Hackathon, he and his team – led by Frank Kelly – won the 1st place “Databrain” Award to the Best Project Idea developed to promote citizen services in Bristol with its Open Data platform. The event was co-organised by Bristol City Council, ConnectBristol and UoB’s Jean Golding Institute for Data Intensive Research. The project consisted in a GIS-based tool to promote eco-friendly routes in the city.

Since a tweet is more worth than thousand words, here we go:

Hoping the is one out of many successful milestones for you!