COVID-19 SAFETY MEASURES
DESIRES needs to be done in presence to favor participation and discussion!
DESIRES speakers need to present in person and not online.
Anyhow, if there are particular health conditions or VISA issues, the speakers can present online.
Key facts
DESIRES is a biennial systems-oriented conference emphasizing the innovative technological aspects of search and retrieval systems.
DESIRES gathers researchers and practitioners from both academia and industry to discuss the latest innovative and visionary ideas in the field.
DESIRES mainly encourages papers about innovative and risky information access and retrieval system ideas, systems-building experience and insight, resourceful experimental studies, provocative position statements, and new application domains.
DESIRES is a single-track conference.
DESIRES complies with the following code of conduct: Python Community Code of Conduct.
Keynotes
Yi Zhang
Professor, Computer Science and Engineering, UC Santa Cruz
Yi Zhang (UC Santa Cruz, USA)
Title: Democratization of the development of Conversational IR virtual assistants
Conversational virtual assistants, including those for search and recommendations, are becoming increasingly important in the IR field and are being launched by companies in production. To provide the best performance and user experience for conversational IR virtual assistants, responsibility for the development and delivery of conversational IR virtual assistants needs to be “democratized”, growing from the IR/AI/IT team to designer, business oriented interdisciplinary teams or even every one. Dr. Yi Zhang will introduce her research and engineering practice in this direction, and discuss the future for democratization of the development of conversational IR virtual assistants.
Nadia Fawaz
Tech Lead Inclusive AI at Pinterest, USA
Nadia Fawaz (Pinterest, USA)
Inclusive Search and Recommendations
Abstract
To truly bring everyone the inspiration to create a life they love, Pinterest is committed to content diversity and to developing inclusive search and recommendation engines. A top request we hear from Pinners is that they want to feel represented in the product. This is why we built the skin tone range and hair pattern technologies. These machine learning technologies are paving the way for more inclusive inspirations in Search and our augmented reality technology Try-On, and driving advances for more diverse recommendations across the platform.
Developing inclusive AI in production requires an iterative and collaborative approach. We have learned the importance of building inclusive systems by design, of measuring to make progress, and of leveraging both artificial and human intelligence. We recognize that these challenges are multi-disciplinary, not just technical.
Jan Pedersen
VP Search and Personalization Technologies, Walmart Global Technology Group
Jan Pedersen (Walmart Global Technology Group, USA)
Title: Product Search at Walmart
The modern, digital-first, retail experience provides consumers access to a potentially limitless inventory of goods. In this marketplace, search plays the role of matchmaker, connecting consumers’ interests, expressed as free-text queries, with relevant items from a large product catalog, and hence is integral to the experience. We refer to this specific search application as Product Search, to distinguish it from say Web Search or Map Search. Product Search operates over semi-structured data, the product catalog, and is generally restricted to transactional intents. Within this scope there are a variety of challenges, such as data enhancement, query understanding, semantic search and cold start issues. In this talk I will survey some of the approaches taken to address these problems at Walmart Search.
Program
All the events will take place in San Jose, CA, USA.
Welcome and Opening
Keynote: Jan Pedersen, Walmart Global Technology Group
Products Search at Walmart
Coffee Break
User Interaction
Chair: Gianmaria Silvello
Dima El Zein, Arthur Câmara and Célia da Costa Pereira.
RULK: A Framework for Representing User Knowledge in Search-as-Learning [Full paper]
Abhishek Kaushik and Gareth Jones.
Comparing User Experience in Search Interaction for Conversational and Conventional Search Systems using Implicit Evaluation Methods [Prototype]
Lunch
Embeddings and Neural Search in IR (panel)
Chair: Omar Alonso
Baldo Feita, Adobe
Jeff Dalton, University of Glasgow
Bing Yin, Amazon
Yang Ye, Apple
Coffee Break
Keynote: Yi Zhang, UC Santa Cruz
Democratization of the development of Conversational IR virtual assistants
Keynote: Nadia Fawaz, Pinterest
Inclusive Search and Recommendations
Coffee Break
Multilinguality
Chair: TBA
Thales Sales Almeida, Thiago Laitz, João Seródio, Luiz Henrique Bonifacio, Roberto Lotufo and Rodrigo Nogueira.
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost [Full paper]
Suraj Nair, Eugene Yang, Dawn Lawrie, James Mayfield and Douglas Oard.
Learning a Sparse Representation Model for Neural CLIR [Full paper]
Giorgio Maria Di Nunzio, Federica Vezzani and Tiziana Sicilia.
T4TEC: A Prototype for Simplified Multilingual Technical Communication. [Abstract]
Lunch
Bridging IR Metrics and Business Metrics in Search and Recommendations (panel)
Chair: Tracy King
Andy Edmonds, Quora
Nikos Vlassis, Adobe
Vamsi Salaka, Amazon
Prototypes: Looking into the future
Chair: TBA
Chris Kamphuis, Faegheh Hasibi, Jimmy Lin and Arjen de Vries.
REBL: Entity Linking at Scale [Prototype]
Monica Lestari Paramita, Maria Kasinidou, Styliani Kleanthous and Frank Hopfgartner.
BASE: a Bias-Aware news Search Engine for improving user awareness [Prototype]
Coffee Break
Business Meeting and closing
Venue
San Jose, California, USA
4 N. 2nd Street in downtown San Jose
Accommodation
We have a number of reserved rooms for DESIRES participants at the Whyhotel by Placemakr San Jose. It is a two block walk from campus.
- Reservations Due Date: August 15, 2022
- Stay Dates: Aug 30 – 31, 2022
Rates
- Jr 1-Bedroom/Studio @ $189 + tax per night
- 1-Bedroom Suite @ $199 + tax per night
- 2-Bedroom Suite @$289 + tax per night
Organization
General Chairs
- Omar Alonso (Amazon, USA)
- Ricardo Baeza-Yates (Institute for Experiential AI, Northeastern University, USA)
- Tracy Holloway King (Adobe, USA)
- Gianmaria Silvello (University of Padua, Italy)
- Ricardo Baeza-Yates (Institute for Experiential AI, Northeastern University, USA)
Advisory Board
- Maristella Agosti (University of Padua, Italy)
- Ricardo Baeza-Yates (NTENT, USA; UPF, Spain; Univ. de Chile)
- Bruce Croft (University of Massachusetts, USA)
- J. Shane Culpepper (RMIT University, Australia)
- Susan Dumais (Microsoft, USA)
- Norbert Fuhr (University of Duisburg-Essen, Germany)
- Donna Harman (NIST, USA)
- Kalervo Jarvelin (University of Tampere, Finland)
- Jan Pedersen (eBay, USA)
- Gerhard Weikum (MPI, Germany)
- Ricardo Baeza-Yates (NTENT, USA; UPF, Spain; Univ. de Chile)
Program Committee
- Krisztian Balog (University of Stavanger, Norway)
- B. Barla Cambazoglu (RMIT University, Australia)
- Arjen de Vries (Radboud University, The Netherlands)
- Laura Dietz (University of New Hampshire, USA)
- Fernando Diaz (Google, USA)
- Nicola Ferro (University of Padua, Italy)
- Evgeniy Gabrilovich (Google, USA)
- Claudia Hauff (Delft University of Technology, The Netherlands)
- Panos Ipeirotis (New York University, USA)
- Hideo Joho (University of Tsukuba, Japan)
- Vasileios Kandylas (Microsoft, USA)
- Emre Kiciman (Microsoft, USA)
- Jaap Kamps (University of Amsterdam, The Netherlands)
- Vasileios Kandylas (Microsoft, USA)
- Matthew Lease (University of Texas at Austin, USA)
- Jimmy Lin (university of Waterloo, Canada)
- Donald Metzler (Google, USA)
- Stefano Mizzaro (University of Udine, Italy)
- Yashar Moshfeghi (University of Strathclyde, UK)
- Josiane Mothe (Institut de Recherche en Informatique de Toulouse, France)
- Isabelle Moulinier (Thomson-Reuters, USA)
- Ahmed Mourad (The University of Queensland, Australia)
- Smruthi Mukund (Twitter, USA)
- Jeremy Pickens (Opentext, USA)
- Martin Potthast (Leipzig University, Germany)
- Tony Russell-Rose (Goldsmiths, University of London, UK)
- Tetsuya Sakai (Waseda University, Japan)
- Ian Soboroff (NIST, USA)
- Damiano Spina (RMIT University, Australia)
- Paul Thomas (Microsoft, USA)
- Andrew Trotman (University of Otago, Australia)
- Olivier Van Laere (Apple Inc., USA)
- Wouter Weerkamp (TomTom, USA)
- Cong Yu (Google, USA)
- Hamed Zamani (University of Massachusetts, USA)
- B. Barla Cambazoglu (RMIT University, Australia)
Inclusion Chair
- Maria Maistro (University of Copenhagen, Denmark)
Organization Chair
- Valerie Cruz (Northeastern University, USA)
Co-organized by