This document provides a summary of recommendation projects taking place at the Rakuten Institute of Technology (RIT) Paris. It describes three key projects: 1) a fashion recommendation project using computer vision to recommend similar and complementary clothes, 2) a fashion recommendation project for PriceMinister that suggests outfits based on pictures, and 3) a project exploring natural navigation in multidimensional spaces of product features. It also mentions a platform called RecoMix for offline evaluation of recommender systems from exported data.
See the Future, See the Stars Rakuten Institute of TechnologyRakuten Group, Inc.
楽天テクノロジーカンファレンス2012 におけるRITセッションのプレゼン資料
We have a strategic research institute. That is named “RIT”, standing for Rakuten Institute of Technology. We recruit computer science researchers and data scientists, mainly phD and are trying to utilize academic knowledge, So as to turn emerging and growing new technology seeds into new business and service opportunity For enriching the internet life all over the world. We have many research projects worldwide. It goes widely from data mining, through NLP, Semantic Web, Cloud, High Performance Computing, Next UI/UX to Ubiquitous Computing. In this session, Masaya Mori, the executive officer of Rakuten and the founding director of RIT worldwide, and Satoshi Sekine, the director of RIT-NY will make an overview of RIT. And, each researcher will make a presentation about his/her research, including LeoFS, AR-HITOKE, and other up-to-date technologies. Based on that we will make some suggestions how to keep abreast of current trends in terms of utilization of technologies.
Presentation by Beth Gordon (Pace University) and Kristina Hoeppner (Catalyst IT) at AAEEBL 2015 http://www.aaeebl.org/?page=2015annualconference on 30 July 2015.
Recording: http://youtu.be/0dCpENOL0co
Live slides: http://slides.com/anitsirk/crowdsourcing-your-way-to-a-better-eportfolio
Detail agenda + links to slides & videos from vodQA Pune - Innovations in Testing, conducted on Sat, 6th June 2015 at ThoughtWorks, Pune
http://vodqa-pune.weebly.com
http://essenceoftesting.blogspot.com/search/label/vodQA
DOES15 - Mirco Hering - Adopting DevOps Practices for Systems of Record – An ...Gene Kim
Mirco Hering, Agile & DevOps Lead, Accenture
Systems of record are often seen as especially difficult to deal with in regards to Agile adoption and DevOps practices. But is that a reason to avoid them? Unfortunately often people don’t talk about the messy work that is required to make these systems work in an Agile environment, it looks so much cleaner with web applications or your custom Java application. Let’s get our hands dirty together in this talk.
I will show you that once you drill open the COTS and Enterprise systems you will be surprised to find common ground, that allows you to deal with these systems in a very similar way to your custom development applications. I work with enterprise grade applications (for example Siebel, Mainframe) all the time and I want to share with you what you can do to make your COTS and Enterprise systems work better in an Agile environment. I provide tangible examples from Siebel and Mainframe to illustrate how you can solve some of the problems and will also share some of the areas that I have failed in so far.
Axway's Emmelyn Wang was the featured speaker at the Women Who Code Dallas/Ft. Worth Meetup at the stunning Alkami Technology Headquarters in Plano, TX.
The most important thing about API Design is for API developers (and product managers, additional stakeholders) to have empathy for API consumers to create the best Developer Experience possible which is technically critical and key to adoption as a business driver.
This approach means that the API specification, the contract between the API provider and API consumer, serves as the core of the design and experience.
See the Future, See the Stars Rakuten Institute of TechnologyRakuten Group, Inc.
楽天テクノロジーカンファレンス2012 におけるRITセッションのプレゼン資料
We have a strategic research institute. That is named “RIT”, standing for Rakuten Institute of Technology. We recruit computer science researchers and data scientists, mainly phD and are trying to utilize academic knowledge, So as to turn emerging and growing new technology seeds into new business and service opportunity For enriching the internet life all over the world. We have many research projects worldwide. It goes widely from data mining, through NLP, Semantic Web, Cloud, High Performance Computing, Next UI/UX to Ubiquitous Computing. In this session, Masaya Mori, the executive officer of Rakuten and the founding director of RIT worldwide, and Satoshi Sekine, the director of RIT-NY will make an overview of RIT. And, each researcher will make a presentation about his/her research, including LeoFS, AR-HITOKE, and other up-to-date technologies. Based on that we will make some suggestions how to keep abreast of current trends in terms of utilization of technologies.
Presentation by Beth Gordon (Pace University) and Kristina Hoeppner (Catalyst IT) at AAEEBL 2015 http://www.aaeebl.org/?page=2015annualconference on 30 July 2015.
Recording: http://youtu.be/0dCpENOL0co
Live slides: http://slides.com/anitsirk/crowdsourcing-your-way-to-a-better-eportfolio
Detail agenda + links to slides & videos from vodQA Pune - Innovations in Testing, conducted on Sat, 6th June 2015 at ThoughtWorks, Pune
http://vodqa-pune.weebly.com
http://essenceoftesting.blogspot.com/search/label/vodQA
DOES15 - Mirco Hering - Adopting DevOps Practices for Systems of Record – An ...Gene Kim
Mirco Hering, Agile & DevOps Lead, Accenture
Systems of record are often seen as especially difficult to deal with in regards to Agile adoption and DevOps practices. But is that a reason to avoid them? Unfortunately often people don’t talk about the messy work that is required to make these systems work in an Agile environment, it looks so much cleaner with web applications or your custom Java application. Let’s get our hands dirty together in this talk.
I will show you that once you drill open the COTS and Enterprise systems you will be surprised to find common ground, that allows you to deal with these systems in a very similar way to your custom development applications. I work with enterprise grade applications (for example Siebel, Mainframe) all the time and I want to share with you what you can do to make your COTS and Enterprise systems work better in an Agile environment. I provide tangible examples from Siebel and Mainframe to illustrate how you can solve some of the problems and will also share some of the areas that I have failed in so far.
Axway's Emmelyn Wang was the featured speaker at the Women Who Code Dallas/Ft. Worth Meetup at the stunning Alkami Technology Headquarters in Plano, TX.
The most important thing about API Design is for API developers (and product managers, additional stakeholders) to have empathy for API consumers to create the best Developer Experience possible which is technically critical and key to adoption as a business driver.
This approach means that the API specification, the contract between the API provider and API consumer, serves as the core of the design and experience.
Simulation Modelling Practice and Theory 47 (2014) 28–45Cont.docxedgar6wallace88877
Simulation Modelling Practice and Theory 47 (2014) 28–45
Contents lists available at ScienceDirect
Simulation Modelling Practice and Theory
j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / s i m p a t
Insight Maker: A general-purpose tool for web-based modeling
& simulation
http://dx.doi.org/10.1016/j.simpat.2014.03.013
1569-190X/� 2014 The Author. Published by Elsevier B.V.
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
E-mail address: [email protected]
1 The exact search query used was ‘’’modeling tool’’ OR ‘‘simulation tool’’’ in the Topic field.
Scott Fortmann-Roe
University of California, Berkeley, Department of Environmental Science, Policy, and Management, 130 Mulford Hall, Berkeley, CA 94720-3114, United States
a r t i c l e i n f o a b s t r a c t
Article history:
Received 29 April 2013
Received in revised form 23 March 2014
Accepted 26 March 2014
Available online 14 June 2014
Keywords:
Modeling
Simulation
Web-based technologies
System Dynamics
Agent-Based Modeling
A web-based, general-purpose simulation and modeling tool is presented in this paper. The
tool, Insight Maker, has been designed to make modeling and simulation accessible to a
wider audience of users. Insight Maker integrates three general modeling approaches –
System Dynamics, Agent-Based Modeling, and imperative programming – in a unified
modeling framework. The environment provides a graphical model construction interface
that is implemented purely in client-side code that runs on users’ machines. Advanced fea-
tures, such as model scripting and an optimization tool, are also described. Insight Maker,
under development for several years, has gained significant adoption with currently more
than 20,000 registered users. In addition to detailing the tool and its guiding philosophy,
this first paper on Insight Maker describes lessons learned from the development of a com-
plex web-based simulation and modeling tool.
� 2014 The Author. Published by Elsevier B.V. This is an open access article under the CC BY
license (http://creativecommons.org/licenses/by/3.0/).
1. Introduction
The field of modeling and simulation tools is diverse and emergent. General-purpose modeling tools (e.g. MATLAB’s
Simulink or the Modelica language [1]) sit beside highly focused and domain-specific applications (e.g. [2] for modeling
network control systems, [3] for simulating the behavior of wireless network routing protocols, or [4] for the simulation
and control of turbines). Interest in and published works on such tools has grown over time. The ISI Web of Knowledge
reports a substantial growth in papers published on modeling or simulation tools with 299 such papers published in the span
of 1985–1989, 1482 published from 1995 to 1999, and 3727 published from 2005 to 2009.1
For end-users, simulation and modeling tools are generally designed as executables to be run on a consumer operating
system such as W.
Techmindz: Custom Corporate Learning Platform Services in KochiTechmindz Kochi
Techmindz – NDZ’s new learning & mentoring platform for new talents which encompasses a detailed framework for their skill development around emerging technologies. We are the pioneers among IT firms in setting up a corporate learning & mentoring platform within the Infopark Campus. The key aspect of this fast learning initiative is that, we create skilled resources who can match the skill demands in the job market.
This is the first presentation of the Open Platforms portal (http://open-platforms.eu) a tentative to document existing platforms for IoT deployment, to foster reusability and facilitate technology choices. As part of the Internet of Things European Research Cluster (IERC) activity chain 1.
Modeling Software Systems in Experimental Robotics for Improved ReproducibilityFlorian Lier
Research on robot systems either integrating a large number of capabilities in a single architecture or displaying outstanding performance in a single domain achieved considerable progress over the last years. Results are typically validated through experimental evaluation or demonstrated live, e.g., at robotics competitions. Common robot hardware, simulation and programming platforms such as the iCub ecosystem yield a vastly improved basis for comparable research. Despite this progress, many of the described experiments still cannot be easily reproduced by interested researchers to confirm the reported findings. We consider this a critical challenge for experimental robotics.
We address this problem in our work by introducing an integrated approach facilitating the reproduction of robotics experiments. We identify major obstacles to experiment replication and introduce an integrated approach that allows aggregation and discovery of required research artifacts, automated build and deployment of required system components, as well as experiment description, repeatable execution and evaluation.
We explain the usage of the introduced process through replication of an exemplary robotics experiment using the iCub humanoid robot.
YouTube Link: https://youtu.be/UiQ1fdG7wi0
** RPA Training: https://www.edureka.co/robotic-process-automation-training **
This session on UiPath Studio will give you an overview of UiPath Studio and its components. Below are the topics covered in the PPT:
What is RPA?
RPA Tools
Introduction To UiPath Studio
UiPath Studio Installation
Projects in UiPath
UiPath Studio Components
Ribbon Components
Activity Components
Demo
RPA Playlist: https://bit.ly/2B53HLe
RPA Blog Series: https://bit.ly/2Ay1bzG
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Descriptions of UX Design projects and the design thinking behind them. The foundational work includes personas, task analysis, user stories, user goals, and problem statements. Later steps include wireframing, mockups and prototypes constructed in tools like Axure, Balsamiq, Sketch. or Figma. User Research and Usability test reports appear in several projects.
Similar to Rakuten Institute of Technology Paris (20)
Multi Task DPP for Basket Completion by Romain WARLOP, Fifty Fiverecsysfr
Determinantal point processes (DPPs) have received significant attention in the recent years as an elegant model for a variety of machine learning tasks, due to their ability to elegantly model set diversity and item quality or popularity. Recent work has shown that DPPs can be effective models for product recommendation and basket completion tasks. We present an enhanced DPP model that is specialized for the task of basket completion, the multi-task DPP. We view the basket completion problem as a multi-class classification problem, and leverage ideas from tensor factorization and multi-class classification to design the multi-task DPP model. We evaluate our model on several real-world datasets, and find that the multi-task DPP provides significantly better predictive quality than a number of state-of-the-art models.
Building a recommender system with Annoy and Word2Vec by Cristian PEREZ, Kern...recsysfr
The Kernix Lab will talk about the development of a recommender engine at the RecSys MeetUp. We will discuss both strategic and technical considerations for a production ready system. Technically, how we handle cold start, misspelled words and content high renewal rates will be shared.
Artem Kozhevnikov, lead Data Scientist, will present some quality metrics commonly followed @ tinyclues in order to evaluate the model predictive power. Those metrics are going beyond well known technical metrics like AUC or RMSE and seem to be important in the context of CRM campaigns targeting.
Highlights on most interesting RecSys papers - Elena Smirnova, Lowik Chanusso...recsysfr
RecSys conference was held in Como at the end of August. We will summarize for you the most trendy techniques and results presented at this conference.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
5. Institute of Technology
Fashion Recommendation
Simona Maggio, Lowik Chanussot, Cécilia Lejeune, RIT Paris
Using Computer Vision to do recommendation of similar and
complementary clothes
6. Institute of Technology
Fashion Recommendation (for PriceMinister)
What could I
wear with this
blouse?
#SuitApp: we suggests this outfit.
What about those matches?
Demo Video: https://www.youtube.com/watch?v=ZmB3_ORkAE0
Similarity matching and recommendations based on pictures from fashion magazines
Simona Maggio
7. Institute of Technology
Navigation in Feature Spaces
Natural navigation in multidimensional spaces of product features
Ken Prepin
color
pattern
style
fashion feature space
same style but far away
navigable space
close style & color & pattern
8. Institute of Technology
Offline Evaluation of Recommender Systems
RecoMix - Platform for evaluation of recommender systems from exported data
Robin Swezey
User Action Logs
WebSite
Simulator
Recommender
System
API calls
Prior Training Set
