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Collaborative Nowcasting for Contextual Recommendation

Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang
2016 Proceedings of the 25th International Conference on World Wide Web - WWW '16  
The studied problem and model provide inspiring implications for new paradigms of recommendations on mobile intelligent devices.  ...  Inspired by the nowcasting practice in meteorology and macroeconomics, we propose an innovative collaborative nowcasting model to effectively resolve these challenges.  ...  EXPERIMENTS We use the contextual recommendation task in digital assistants to empirically evaluate the collaborative nowcasting model.  ... 
doi:10.1145/2872427.2874812 dblp:conf/www/SunYXMZ16 fatcat:t7mzjjxhrnbptk57ebfzfvzxr4

Contextual Intent Tracking for Personal Assistants

Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang
2016 Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16  
The KP2 model utilizes collaborative capabilities among users, and learns for each user a personalized dynamic system that enables efficient nowcasting of users' intent.  ...  large-scale proactive recommendation systems in personal assistants.  ...  As with traditional recommendation problems, the contextual data for a single user can be quite sparse and hence have limited predicting power.  ... 
doi:10.1145/2939672.2939676 dblp:conf/kdd/SunYWXMZ16 fatcat:ynalqw4n4ngtxclencogfoevuq

Nowcasting epidemics of novel pathogens: lessons from COVID-19

Joseph T. Wu, Kathy Leung, Tommy T. Y. Lam, Michael Y. Ni, Carlos K. H. Wong, J. S. Malik Peiris, Gabriel M. Leung
2021 Nature Medicine  
19 pandemic, scientists need to constantly update their aims and analytics with respect to the rapidly evolving emergence of new questions, data and findings in order to synthesize real-time evidence for  ...  Epidemic nowcasting broadly refers to assessing the current state by understanding key pathogenic, epidemiologic, clinical and socio-behavioral characteristics of an ongoing outbreak.  ...  As such, nowcasting the effectiveness of PHSMs is essential for informing countries how to optimally adjust their PHSM portfolios subject to their particular temporal and contextual feasibility constraints  ... 
doi:10.1038/s41591-021-01278-w pmid:33723452 fatcat:qms7cwmz55bunj3post2hvriwm

Financial crisis and recession: how ONS has addressed the statistical and analytical challenges

Aileen Simpkins, Paul Smith, Martin Brand
2010 Economic & Labour Market Review  
of Nowcasting Reviews GDP(O) M1 56% is nowcasted M2 33% is nowcasted M3 20% is nowcasted IOP IOP do a nowcast for M1 release of GDP, only 2 months of data are available so 3rd month is nowcasted  ...  Th e latest estimates for public service productivity change, between 1998 and 2007, can be found in Munro and Phelps (2009); Patterson (2009) provides an update on progress in implementing the recommendations  ... 
doi:10.1057/elmr.2010.7 fatcat:nouibbmszfeb5dkj75iy73ciq4

Intent-Aware Contextual Recommendation System

Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti, Kushal Satya
2017 2017 IEEE International Conference on Data Mining Workshops (ICDMW)  
The final recommendations are then ranked using filtering and collaborative recommendation techniques to show the top-k recommendations to the user.  ...  Finally, combining the user activity data with the contextual information gives the recommendation score.  ...  The authors would like to thank Adobe Research for their support.  ... 
doi:10.1109/icdmw.2017.8 dblp:conf/icdm/BhattacharyaBSS17 fatcat:ovd77nh57zhdnmywne7mou3loy

Crowdsourcing rare events: Using curiosity to draw participants into science and early warning systems

Andrea H. Tapia, Nicolas J. LaLone, Elizabeth MacDonald, Reid Priedhorsky, Michelle Hall
2014 International Conference on Information Systems for Crisis Response and Management  
This activity, commonly referred to as nowcasting, can be combined with scientific data collected from observatories and satellites and serve as an early warning system with potentially far greater accuracy  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of NSF.  ...  LANL is operated by Los Alamos National Security, LLC for the Department of Energy under contract DE-AC52-06NA25396. Approved by LANL for public release, LA-UR 14-20644.  ... 
dblp:conf/iscram/TapiaLMPH14 fatcat:yzhb4xk6n5eetpmfovbe5tdvvq

Predicting floods with Flickr tags

Nataliya Tkachenko, Stephen Jarvis, Rob Procter, Guy J-P. Schumann
2017 PLoS ONE  
For this reason interpretation of the content (e.g., hashtags, images, text, emojis, etc) and metadata (e.g., keywords, tags, geolocation) have been a focus of much research into social media analytics  ...  of semantic tags in the current methods are usually reduced to the exact name or type of the event (e.g., hashtags '#Sandy' or '#flooding'), the main limitation of such approaches remains their mere nowcasting  ...  This project is conducted in collaboration with the British Geological Survey (BGS), and the authors are grateful for their support in this research. Author Contributions Conceptualization: NT.  ... 
doi:10.1371/journal.pone.0172870 pmid:28235035 pmcid:PMC5325575 fatcat:i5gu2nou65c7dedqcw6ifvyhfu

D1.3 Scoping phase report: using new data to address R&I policy needs

Knut Blind
2018 Zenodo  
The objective of this work phase was to understand the demand for new innovation indicators and new opportunities to address them with new data sources and methods.  ...  . ● To identify new data sources which are relevant for R&I policy makers, and to assess and document their general strengths and weaknesses. ● To generate a set of data pilot candidates.  ...  It was recommended EURITO tackles those threats.  ... 
doi:10.5281/zenodo.1932554 fatcat:ra3z6vtu45dmfcrhngzalgm5be

TV meteorologists at MET Norway as climate communicators

Anders Doksæter Sivle, Amalie Kvame Holm, Jelmer Jeuring, Hans Olav Hygen, Mai-Linn Finstad Svehagen
2021 Advances in Science and Research  
In this paper, experiences from the project at the Norwegian Meteorological institute are shared along with recommendations for climate communication.  ...  Online, however, forecasts are updated every hour based on new numerical data, and every five minutes for the nowcast.  ...  In the following sections, we provide the theoretical basis of the project, its key activities and outcomes, a number of recommendations for the wider climate communication community and a reflection on  ... 
doi:10.5194/asr-18-27-2021 fatcat:sp63wvdezzao3oh3ec6kj3xupi

Toward a next generation particle precipitation model: Mesoscale prediction through machine learning (a case study and framework for progress)

Ryan M. McGranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone
2021 Space Weather: The international journal of research and applications  
That repository contains information on data preparation, software dependencies needed, the final precipNet model used for this manuscript, and reference to the published data set created and used by this  ...  Our results are presented for the specification (i.e., nowcast) of total electron energy flux.  ...  (e) Local scale contextual perspective: substorm onsets in the Super Magnetometer Initiative (SuperMAG) database for the time periods covered by our database.  ... 
doi:10.1029/2020sw002684 fatcat:mvo7r6kwgvdxfi35jyc7s3jaea

Guest editorial

S. Mostafa Rasoolimanesh, Rob Law, Dimitrios Buhalis, Cihan Cobanoglu
2019 Journal of Hospitality and Tourism Technology  
Google Trends data use in tourism and hospitality research has increased significantly from 2012 to 2017, mainly for: tourism forecasting/nowcasting; knowing the interest of users' search for tourist attractions  ...  Contextual information and real-time services will be driving the future use of cutting edge technology for tourism and hospitality Buhalis and Leung, 2018; Buhalis and Sinarta, 2019) .  ... 
doi:10.1108/jhtt-11-2019-143 fatcat:d73ty2faj5cybnbkcddiqz6iem

Big Data sources and methods for social and economic analyses

Desamparados Blazquez, Josep Domenech
2018 Technological forecasting & social change  
approach, this paper develops a Big Data architecture that properly integrates most of the non-traditional information sources and data analysis methods in order to provide a specifically designed system for  ...  For big data sets, the first method is recommended.  ...  A Big Data architecture for nowcasting and forecasting social and economic changes Our proposal of a Big Data architecture for nowcasting social and economic changes is presented in Fig. 4 .  ... 
doi:10.1016/j.techfore.2017.07.027 fatcat:3ncjo4yhdvboxe44cu3wboixiu

Next generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress) [article]

Ryan M. McGranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone
2020 arXiv   pre-print
The new total electron energy flux particle precipitation nowcast model, a neural network called PrecipNet, takes advantage of increased expressive power afforded by machine learning approaches to appropriately  ...  We create and apply a new framework for space weather model evaluation that culminates previous guidance from across the solar-terrestrial research community.  ...  two in-person research weeks, and is a regular source of inspiration for cutting-edge space science research and collaboration.  ... 
arXiv:2011.10117v1 fatcat:jwapsgrhf5ca5kn7jeq672ajwe

Social Media– and Internet-Based Disease Surveillance for Public Health

Allison E. Aiello, Audrey Renson, Paul N. Zivich
2020 Annual Review of Public Health  
Expected final online publication date for the Annual Review of Public Health, Volume 41 is April 1, 2020. Please see for revised estimates.  ...  This review addresses the use, promise, perils, and ethics of social media– and Internet-based data collection for public health surveillance.  ...  Although some public health officials report monitoring digital data sources such as Google Flu Trends for contextual information (13), our review indicates that public health, in any official capacity  ... 
doi:10.1146/annurev-publhealth-040119-094402 pmid:31905322 pmcid:PMC7959655 fatcat:agsov75hfzfbnb7d46ouzs6jj4

D2.2 Pilots Research Results

2019 Zenodo  
In this report, we present the rationale, methodology and emerging findings for each of these exploratory pilots.  ...  They are thus: Pilot 1: Emerging Tech Ecosystems (Artificial Intelligence) Pilot 2: Nowcasting Business Research & Development Pilot 3: Technological Change Indicators Pilot 4: Standards As Innovation  ...  European strategy forum for research infrastructures (ESFRI) recommendations for HEP.  ... 
doi:10.5281/zenodo.3243490 fatcat:tvhmeonnknc5vdssp6lxdq57fy
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