Mobisys

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Daniele Quercia

Tecnología Educación

We research distributed systems (mostly mobile)

How to make it distributed. Traditional Collaborative Filtering: centralized

h How to make it distributed (neal lathia)

temporal evolution of ratings 1. Temporal Evolution of Ratings

Computing on Sensors: Limited & Oversimplified

Computing on Sensors: Limited & Oversimplified Sensors form a ...

Daniele Quercia Situation : People exchange digital content

Problem : content overload content drowning user help! who will come to the rescue?

Proposal: Accept content only from reputable people

Daniele Quercia A B Shall I accept content from B ?

Daniele Quercia A B A should set its trust for B

Daniele Quercia A B A should set its trust for B Yes, but how? That’s my research!

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This stack is a compilation of projects and insights on wearables and their implications. It is based on an Intel sponsored studio taught by Philip van Allen, Ben Hooker, and Wendy March (of Intel) in the Art Center College of Design, Media Design Practices MFA program. The project brief was to discover new approaches to wearable technologies rather than design a specific product. Out of these experimental and speculative projects by the students, Phil and Ben sought to distill insights that can inform future design work in the wearables area. These are in the second part of the stack, starting with a mapping of the ideas. We were particularly interested in the three themes of the course: Transactions, Contextual Adaptability, and the Aesthetics of Behavior. See the project brief: http://www.philvanallen.com/learning/wearables/course-notes/final-project-brief/ Special thanks to Ian Besler for designing the map and presentation

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This talk highlights the work of the Visual Social Media Lab and the Picturing the Social project. It summarises the key research questions and aims of the project. It highlights the value of interdisciplinarity and working closely with industry in this area. It also focuses on the way in which me might study different types of structures involved in the circulation and the scopic regimes that make social media images more or less visible. It also tries to unpack how we can start to think about APIs as 'method' and looks at the different ways in which we can get access to different kinds of social media image data. Both through public ('free') APIs and ('pay for') firehose data.

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A presentation to the Canadian Institute of Distance Education Research. In this talk I draw on empirical studies conducted by a number of researchers (including work by myself and Royce Kimmons) to examine academics’ and educators’ participation in networked spaces. These studies point to three significant findings: (a) increasingly open practices that question the traditions of academia, (b) personal-professional tensions in academic work, and (c) a framework of identity that contrasts sharply with our existing understanding of online identity. - See more at: http://www.veletsianos.com/#sthash.73brAcX2.dpuf

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Wearable Ecologies - Insights From Intel Sponsored Course

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Social computing broadly refers to supporting social behaviours using computational systems. In the last decade, the advent of Web 2.0 and its social networking services, wikis, blogs, and social bookmarking has revolutionised social computing, creating new online contexts within which people interact socially (social networking). With the pervasiveness of mobile devices and embedded sensors, we stand at the brink of another major revolution, where the boundary between online and offline social behaviours blurs, providing opportunities for (re)defining social conventions and contexts once again. But opportunities come with challenges: can middleware foster the engineering of social software? We identify three societal grand challenges that are likely to drive future research in social computing and elaborate on how the middleware community can help address them.

Middleware for social computing: a roadmap

Daniele Quercia

Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, producing a personalised collection of recommendations that balance between the desired goals of accuracy, diversity, novelty and serendipity. We introduce the Auralist recommendation framework, a system that - in contrast to previous work - attempts to balance and improve all four factors simultaneously. Using a collection of novel algorithms inspired by principles of ‘serendipitous discovery’, we demonstrate a method of successfully injecting serendipity, novelty and diversity into recommendations whilst limiting the impact on accuracy. We evaluate Auralist quantitatively over a broad set of metrics and, with a user study on music recommendation, show that Auralist’s emphasis on serendipity indeed improves user satisfaction.

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Recommending Social Events from Mobile Phone Location Data A city offers thousands of social events a day, and it is difficult for dwellers to make choices. The combination of mobile phones and recommender systems can change the way one deals with such abundance. Mobile phones with positioning technology are now widely available, making it easy for people to broadcast their whereabouts; recommender systems can now identify patterns in people’s movements in order to, for example, recommend events. To do so, the system relies on having mobile users who share their attendance at a large number of social events: cold-start users, who have no location history, cannot receive recommendations. We set out to address the mobile cold-start problem by answering the following research question: how can social events be recommended to a cold-start user based only on his home location? To answer this question, we carry out a study of the rela- tionship between preferences for social events and geography, the first of its kind in a large metropolitan area. We sample location estimations of one million mobile phone users in Greater Boston, combine the sample with social events in the same area, and infer the social events attended by 2,519 residents. Upon this data, we test a variety of algorithms for recommending social events. We find that the most effective algorithm recommends events that are popular among residents of an area. The least effective, instead, recommends events that are geographically close to the area. This last result has interesting implications for location-based services that emphasize recommending nearby events.

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The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

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Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

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The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

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Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

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Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

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Mobisys

1. My research @ MobiSys (daniele quercia) U C L

2. I research @ ...

3. U niversity C ollege L ondon

4. I’m part of ...

5. MobiSys

6. <MobiSys>

7. We research distributed systems (mostly mobile)

8. We blog mobblog ucl

9. We? 2 examples...

10. How to make it distributed. Traditional Collaborative Filtering: centralized

11. h How to make it distributed (neal lathia)

12. temporal evolution of ratings 1. Temporal Evolution of Ratings

13. 2. Trustworthiness of ratings

14. Computing on Sensors: Limited & Oversimplified

15. Computing on Sensors: Limited & Oversimplified Sensors form a ...

16. Ways of sharing load (elisa rondini)

17. Two ways already work ...

18. on a large testbed !

19. </MobiSys>

20. <My Research>

21. Reputation Systems for Mobiles

22. Daniele Quercia Situation : People exchange digital content

23. Problem : content overload content drowning user help! who will come to the rescue?

24. Proposal: Accept content only from reputable people

25. Who is reputable ? That’s subjective!

26. Daniele Quercia Take two devices… A B

27. Daniele Quercia A B Shall I accept content from B ?

28. Daniele Quercia A B A should set its trust for B

29. Daniele Quercia A B A should set its trust for B Yes, but how? That’s my research!

Mobisys

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