The 11th ACM International Conference on Web Search and Data Mining

Los Angeles, California, USA, Feb. 5-9, 2018.

VC & Industry Day

In its eleventh year in 2018, WSDM will feature a new VC and Industry day focused on the interaction of the search and data mining communities with the VC and Industry communities. A series of invited talks by prominent speakers will be mixed with panels on the topics ranging from the role of the data science in startups to the sharing economy. The panels will feature top Data Scientists from companies such as Google, Facebook, Amazon, Airbnb , and others. The lunch break will feature a company expo where 20+ companies will present their work, giving the WSDM attendants a chance to see data science and search applications in practice.

Keynote Speakers

TBA

Hartmut Neven

Google

Title: Countdown to Quantum Supremacy: An Update from the Google Quantum Artificial Intelligence Lab

Abstract: In this talk I will report about the effort at the Google Quantum AI Lab to engineer a processor that is capable of passing the quantum supremacy frontier. This is defined as the moment when a quantum processor becomes capable of executing a computational task in a short time, say one second, while even the fastest classical supercomputer can not perform this task within a reasonable time frame, say one year. Once the supremacy milestone is achieved we plan to offer access to our quantum processors via Google Cloud for researchers and practitioners to be able to explore their potential computational powers. I will then discuss which useful applications we hope to run on such near-term quantum processors which have passed the quantum supremacy frontier but do not yet possess enough qubits to perform quantum error correction. I will intrioduce three application areas: quantum enhanced optimization, quantum simulation and quantum neural networks. In particular I will report on i) quantum assisted parallel tempering, a quantum enhanced optimization technique, that uses the physics of many body delocalization to escape local minima ii) a recent breakthrough in quantum simulation that suggests that one only needs a circuit of depth O(n) to perform electronic structure calculations involving n spin orbitals and finally iii) first experiments to train quantum neural networks.
Bio: Hartmut Neven is an Engineering Director at Google. He is the founder and manager of the Quantum Artificial Intelligence lab. The objective of the lab is to fabricate quantum processors and develop novel quantum algorithms to dramatically accelerate computational tasks for machine intelligence. Previously, Hartmut was head of the Visual Search team. His team developed the visual search service which today is used by a large number of Google products including Image Search, Google Photos, YouTube, Street View and Google Goggles. His teams won a number of competitions designed to establish the best visual recognition software for faces (FERET 1996, FRVT 2002), objects (ImageNet 2014) and text (ICDAR 2013). Hartmut was also a co-founder of project Glass and led the team that built the first prototype. Prior to joining Google, Hartmut started two computer vision companies, the second one was acquired by Google in 2006. Hartmut obtained his Ph.D. in 1996 with a thesis on "Dynamics for vision-guided autonomous mobile robots". Then he became a research professor for computer science and theoretical neuroscience at the University of Southern California.
TBA

Vinod Khosla

Khosla Ventures

Title: TBA

Abstract: TBA

Bio: Vinod Khosla is an entrepreneur, investor, and technology fan. He is the founder of Khosla Ventures, focused on impactful clean technology and information technology investments. Mr. Khosla was a co-founder of Daisy systems and founding CEO of Sun Microsystems where he pioneered open systems and commercial RISC processors. One of Mr. Khosla’s greatest passions is being a mentor to entrepreneurs, assisting entrepreneurs and helping them build technology based businesses. Mr. Khosla is driven by the desire to make positive impact through scaling alternative energy, achieving petroleum independence, and promoting a pragmatic approach to the environment. He is also passionate about Social Entrepreneurship. Vinod holds a Bachelor of Technology in Electrical Engineering from IIT, New Delhi, a Master's in Biomedical Engineering from Carnegie Mellon University and an MBA from the Stanford Graduate School of Business.

Slides

Invited Talk Speakers

TBA

Ash Damle

Lumiata

Title: TBA

Abstract:

Bio: As the Founder and CEO of Lumiata, Ash Damle drives the company’s mission of lowering the cost of healthcare delivery by predicting individual health risks with artificial intelligence. At Lumiata, Ash has pioneered a first-of-kind medical knowledge graph based on current scientific research and clinical practice. The Lumiata medical knowledge graph combines multi-sourced health data with medical knowledge, analyzes the complex relationships between them, and provides precise, clinically-relevant, interpretable analytics.
Ash is a technologist and data scientist deeply rooted in the application of big data to health and its intersection with design, and has worked with organizations in the United States, China, UK, Canada, Australia, France, Germany, India and Japan. Over the last 15 years, he has researched, built and applied AI technologies with leading institutions and organizations, including the UCLA AI and Robotics Lab, MIT’s AI Lab, the MIT Media Lab, the US Navy and NASA. Ash graduated from Massachusetts Institute of Technology (MIT) in both Computer Science and Mathematics, has published numerous papers, and has received patents in real-time unstructured semantic analysis.
TBA

Hang Li

Toutiao

Title: New Era of Information Dissemination - Toutiao’s Vision and Practice

Abstract: Mobile Internet and artificial intelligence (AI) technologies are bringing us to a new era of information dissemination. Information and knowledge are circulated in an unprecedented scale, speed, and depth, with ubiquitousness, immediacy, diversity, and sociality as the main characteristics. Founded in 2012, Toutiao is a company mainly based in China providing the largest information distribution platform in the world. Its AI-powered mobile apps now deliver personalized content to hundreds of millions of users based on their interests. The vision of the company is to build a world-wide information platform which understands the users the best, connects people and information in the most effectively way, and promotes creation and dissemination of information. The AI Lab of Toutiao is conducting research on machine learning, computing vision, natural language processing, and other AI technologies. The goal is to develop cutting edge technologies that can offer the best experiences to the users. In this talk, I will introduce Toutiao’s vision and practice in enhancement of information dissemination. I will particularly introduce the technically challenging problems which we are tackling.

Bio: Hang Li is director of Toutiao AI Lab, adjunct professors of Peking University and Nanjing University. He is an IEEE Fellow and an ACM Distinguished Scientist. His research areas include information retrieval, natural language processing, machine learning, and data mining. Hang graduated from Kyoto University in 1988 and earned his PhD from the University of Tokyo in 1998. He worked at NEC Research as researcher from 1990 to 2001, Microsoft Research Asia as senior researcher and research manager from 2001 to 2012, and chief scientist and director of Huawei Noah’s Ark from 2012 to 2017. He joined Toutiao in 2017. Hang has published three technical books, and more than 120 technical papers at top international conferences including SIGIR, WWW, WSDM, ACL, EMNLP, ICML, NIPS, SIGKDD, AAAI, IJCAI, and top international journals including CL, NLE, JMLR, TOIS, IRJ, IPM, TKDE, TWEB, TIST. He and his colleagues’ papers received the SIGKDD’08 best application paper award, the SIGIR’08 best student paper award, the ACL’12 best student paper award. Hang worked on the development of several products such as Microsoft SQL Server 2005, Office 2007, Live Search 2008, Bing 2009, Office 2010, Bing 2010, Office 2012, Huawei smartphones 2014 and Huawei smartphones 2017. He has 42 granted US patents. Hang is also very active in the research communities and has served or is serving top international conferences as PC chair, Senior PC member, or PC member, including SIGIR, WWW, WSDM, ACL, NACL, EMNLP, NIPS, SIGKDD, ICDM, IJCAI, ACML, and top international journals as associate editor or editorial board member, including CL, IRJ, TIST, JASIST, JCST.

TBA

Min Wang

Visa

Title: AI for the Future of Commerce: Challenges and Opportunities

Abstract: Visa's unique position as the world's largest payment network enables us to serve billions of consumers and tens of millions of merchants on a daily basis. These massive high-quality financial data provide valuable insights on how people conduct commerce around the world, and AI technology has the potential to unlock the hidden value in these data and drive innovations in the payments industry. In this talk, I will give an overview of the research opportunities and challenges for data analytics and machine learning in the context of payments data, and share our point of view on how AI can reshape the Future of Payments by delivering unique capabilities in scenarios such as fraud detection, authentication, and recommendation systems.

Bio: Dr. Min Wang joined Visa as the Senior Vice President and Head of Visa Research in May 2015. In her role, she founded and now leads Visa Research, an organization that conducts applied research on the most challenging problems in Payments and provides technical thought leadership for the future of the industry. Visa Research is focusing on three research areas: Data Analytics, Security, and Future of Commerce.
Prior to Visa, Min was a Senior Staff Research Scientist and Research Manager at Google, Director of HP Labs China where she was named a Distinguished Technologist, and held senior research roles at IBM’s Thomas J. Watson Research Center.
Min has published over 90 research papers in top peer-reviewed conferences and journals and received several distinguished research awards for her work on data management. In 2009, she received the ACM SIGMOD Test of Time Award. She has been serving as a board member of the Computing Research Association (CRA) since 2016.
Min received her Ph.D. in Computer Science from Duke University and B.S. and M.S. degrees with top honors, both in Computer Science, from Tsinghua University, Beijing, China.

TBA

Benyu Zhang

CloudBrain

Title: TBA

Abstract: TBA

Bio: TBA

TBA

Ken Weiner

Gumgum

Title: TBA

Abstract: TBA

Bio: TBA

TBA

Adam Zheng

Oben

Title: TBA

Abstract: TBA

Bio: TBA

TBA

Richard Liu

Leap.ai

Title: TBA

Abstract: TBA

Bio: TBA

TBA

Mihajlo Grbovic

Aribnb

Title: Search Ranking And Personalization at Airbnb

Abstract: Search ranking is a fundamental problem of crucial interest to major Internet companies, including web search engines, content publishing websites and marketplaces. However, despite sharing some common characteristics a one-size-fits-all solution does not exist in this space. Given a large difference in content that needs to be ranked and the parties affected by ranking, each search ranking problem is somewhat specific. Correspondingly, search ranking at Airbnb is quite unique, being a two-sided marketplace in which one needs to optimize for host and guest preferences, in a world where a user rarely consumes the same item twice and one listing can accept only one guest for a certain set of dates. In this talk, I will discuss challenges we have encountered and Machine Learning solutions we have developed for listing ranking at Airbnb. Specifically, the listing ranking problem boils down to prioritizing listings that are appealing to the guest but at the same time demoting listings that would likely reject the guest, which is not easily solvable using basic matrix completion or a straightforward linear model. I will shed the light on how we jointly optimize the two objectives by leveraging listing quality, location relevance, reviews, host response time as well as guest and host preferences and past booking history. Moreover, I will present our recent work on real-time personalization in search ranking, where we leverage listing embeddings trained on historical search sessions to enhance user’s future search experience by promoting similar content to the one user recently interacted with. Finally, I will talk about how we train and use query embeddings to provide better type-ahead suggestions and handle broad queries, in our case queries with no explicit location.

Bio: Mihajlo Grbovic, Ph.D. is a Principal Machine Learning Scientist on the Search Ranking Team at Airbnb. Prior to that, he was a Senior Research Manager at Yahoo Labs working on Advertising Sciences. He has more than 10 years of technical experience in applied Machine Learning, acting as a Science Lead in a portfolio of advertising technology projects at Yahoo and Tumblr. Some of his biggest accomplishments include building a Large-scale Interest and Gender Targeting Pipeline for Tumblr, delivering Email Classification Platform used in Yahoo Mail Smart Views that millions of people interact with every day, and introducing the next generation Query-Ad Matching algorithm to Yahoo Sponsored Search. Dr. Grbovic published more than 40 peer-reviewed publications at top Machine Learning and Web Science Conferences and co-authored more than 10 pending patents. His work was featured in Wall Street Journal, Scientific American, MIT Technology Review, Popular Science and Market Watch.

TBA

Kai Yu

Horizon Robotics

Title: TBA

Abstract: TBA

Bio: TBA

Panels

VC Panel
Title: TBA

Time: TBA
Moderator:
  • TBA, TBA
Panelists:
  • Sunil Nagaraj, UbiquityBio
    Sunil Nagaraj is Managing Partner of Ubiquity Ventures where he invests in seed-stage startups in the areas of smart hardware and machine intelligence applications. Prior to Ubiquity, Sunil spent 6 years as a VC with Bessemer Venture Partners where he was part of investments in Auth0, Defense.Net (acquired by F5 Networks), Rocket Lab, Spire, Tile, Twitch (acquired by Amazon), and Zapier. He was previously founder/CEO of VC-backed online dating startup Triangulate. He has also worked at Bain & Company, Cisco, and Microsoft.

    Sunil holds an MBA from Harvard Business School and a BS in Computer Science from the University of North Carolina at Chapel Hill. He is current Co-Chair of the NextGen Partners (the largest VC networking organization in the Bay Area) as well as the NextGen Board of the Computer History Museum. He also serves on the board of the Astronomical Society of the Pacific (the largest general astronomy education society in the world), the Harvard Business School California Research Center, and the Volunteer Council of the SETI Institute.

  • Mark Suster, UpfrontBio
  • Cody Simms, Techstars VenturesBio
  • TBA, TBABio

Career Panel
Title: TBA

Time: TBA
Moderator:
  • Fernando Pereira, GoogleBio
    Fernando Pereira is VP and Engineering Fellow at Google, where he leads research and development in natural language understanding and machine learning. His previous positions include chair of the Computer and Information Science department of the University of Pennsylvania, head of the Machine Learning and Information Retrieval department at AT&T Labs, and research and management positions at SRI International. He received a Ph.D. in Artificial Intelligence from the University of Edinburgh in 1982, and has over 120 research publications on computational linguistics, machine learning, bioinformatics, speech recognition, and logic programming, as well as several patents. He was elected AAAI Fellow in 1991 for contributions to computational linguistics and logic programming, and ACM Fellow in 2010 for contributions to machine learning models of natural language and biological sequences. He was president of the Association for Computational Linguistics in 1993.
Panelists:
  • Anima Anandkumar, AmazonBio
    Anima Anandkumar is a principal scientist at Amazon Web Services and a Bren professor at Caltech CMS department. Her research interests are in the areas of large-scale machine learning, non-convex optimization and high-dimensional statistics. In particular, she has been spearheading the development and analysis of tensor algorithms. She is the recipient of several awards such as the Alfred. P. Sloan Fellowship, Microsoft Faculty Fellowship, Google research award, ARO and AFOSR Young Investigator Awards, NSF Career Award, Early Career Excellence in Research Award at UCI, Best Thesis Award from the ACM Sigmetrics society, IBM Fran Allen PhD fellowship, and several best paper awards. She has been featured in a number of forums such as the yourstory, Quora ML session, O’Reilly media, and so on. She received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, an assistant professor at U.C. Irvine between 2010 and 2016, and a visiting researcher at Microsoft Research New England in 2012 and 2014.
  • Kevyn Collins-Thompson, U MichiganBio
    TBA
  • Lada Adamic, FacebookBio
    TBA
  • Sharad Goel, Stanford UniversityBio
    Sharad Goel is an assistant professor at Stanford University in the Department of Management Science & Engineering, and holds courtesy appointments in Computer Science and Sociology. He looks at public policy through the lens of computer science, bringing a computational perspective to a diverse range of contemporary issues, including police practices, bail reform, political polarization, voter fraud, and online privacy. Before joining Stanford, Sharad worked in industry for seven years, first at Yahoo Labs and then at Microsoft Research.

Schedule

Monday, February 5
Room: TBA
9am
Industry keynote
Hongjiang Zhang
CEO, Kingsoft
TBA
9:45am
VC Panel
Title: TBA
Moderator: TBA
Panelists: Sunil Nagaraj (Ubiquity), Mark Suster (Upfront), Cody Simms (Techstars Ventures)
10:30am
Coffee Break
TBA
11am
Invited Talk
TBA
TBA
TBA
12:30pm Lunch Fisher Banquet Room
2pm
Invited Talk
TBA
TBA
3:30pm
Coffee Break
TBA
4:00pm
Career Panel
TBA
Moderator: Fernando Pereira (Google)
Panelists: Anima Anandkumar (Amazon), Kevyn Collins-Thompson (U Michigan), Lada Adamic (Facebook), Sharad Goel (Stanford University)
4:45pm
Invited Talk
TBA
TBA
5:45pm
VC keynote
Vinod Khosla
Khosla Ventures
TBA
6:30pm  

Organizers