YouTube without (personalized) recommendations The feature they - PowerPoint PPT Presentation

Sep 01, 2022 •32 likes •122 views

YouTube without (personalized) recommendations The feature they dont talk about Felix Morsbach November 24, 2019 What is this all about? 1 Newsboat + YouTube: 2 An alternative! 1 5 What is this all about? T he WHY ? Journey to

YouTube without (personalized) recommendations The feature they don’t talk about Felix Morsbach November 24, 2019
What is this all about? 1 Newsboat + YouTube: 2 An alternative! 1 5
What is this all about?
T he WHY ? Journey to de-googlify myself YouTube knows a scary amount of my personal preferences But I don’t want to miss out on my daily doses of Linus and co. Quest: Looking for an alternative! ◮ Able to keep track of favourite channels ◮ Without making it easy to track me 2 5
T he WHAT ? Use YouTube’s RSS endpoints Use a local RSS reader to poll each channel ◮ No dependency on another online service Watch YouTube videos without a browser 3 5
T he HOW ? 1. Choose a RSS reader ◮ I chose Newsboat, a customizable terminal RSS reader 2. Transform all your YT subscriptions into RSS subscriptions ◮ Simple script transforming OMPL to the simple Newsboat format 3. Add new subscriptions by finding the channel id ◮ pre-built scripts or services available 4. (Optional) Use a command line video player like MPV 4 5
Newsboat + YouTube: An alternative!
Demo
Links For a more detailed write up on how to set this up for your own, see: www.the-privacy-captain.net 5 / 5

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Personalized Recommendations for Music Genre Exploration Yu Liang, Martijn Willemsen HTI Group,

Personalized Recommendations for Music Genre Exploration Yu Liang, Martijn Willemsen HTI Group, Eindhoven University of Technology Jheronimus Academy of Data Science Liang, Yu, and Martijn C. Willemsen. "Personalized Recommendations for

513 views • 26 slides

Personalized Dietary Recommendations Johanna Lampe, PhD, RD Division of Public Health Sciences

North American Menopause Society Annual Meeting October12, 2013, Dallas, TX Application of Nutrigenomics Toward Personalized Dietary Recommendations Johanna Lampe, PhD, RD Division of Public Health Sciences Fred Hutchinson Cancer Research

477 views • 20 slides

A Personalized Interest-Forgetting Markov Model for Recommendations Jun Chen , Chaokun Wang,

A Personalized Interest-Forgetting Markov Model for Recommendations Jun Chen , Chaokun Wang, Jianmin Wang Tsinghua University, China chenjun14@mails.tsinghua.edu.cn, {chaokun, jimwang}@tsinghua.edu.cn AAAI-15 28-Jan-15 1 Review on

366 views • 19 slides

DEFINITION OF PERSONALIZED LEARNING Personalized learning is a

6/16/15 SESSION 4: CULTIVATING PERSONALIZED LEARNING THROUGH HABITS OF MIND Bena Kallick & Allison Zmuda June 3, 2015 DEFINITION OF PERSONALIZED

304 views • 7 slides

Personalized Genomics of Cancer 02-223 Personalized Medicine:

Personalized Genomics of Cancer 02-223 Personalized Medicine: Understanding Your Own Genome Fall 2014 Acknowledgement: Dr. Russell Schwarts for slides

593 views • 41 slides

Accelerating YouTube & Google Search Andreas Terzis YouTube Statistics YouTube is a large

Accelerating YouTube & Google Search Andreas Terzis YouTube Statistics YouTube is a large fraction of Internet traffic globally 1 17% NA, 25% Europe, 33% LATAM, 23% APAC of fixed-line traffic Mobile makes ~40% of YouTubes

382 views • 15 slides

Personalized Learning October 2018 Pattonville Personalized Learning Vision Students own their

Personalized Learning October 2018 Pattonville Personalized Learning Vision Students own their learning, unconstrained by time, practice, or structure, to meet their unique learning goals supporting their future success. Personalized

414 views • 7 slides

A Multi-Armed Bandit Framework for Recommendations at Netflix Jaya Kawale Elliot Chow

A Multi-Armed Bandit Framework for Recommendations at Netflix Jaya Kawale Elliot Chow Recommendations at Netflix Personalized Homepage for each member Goal : Quickly help members find content theyd like to watch Risk : Member may

1.03k views • 44 slides

Personalized Learning Environments Architectural Considerations for Supporting Personalized

Personalized Learning Environments Architectural Considerations for Supporting Personalized Learning Primor ordial M l Metaphor hors f for Learning Types of Interaction, Instruction, Study Watering Hole Mountain Top Sandpit Cave

310 views • 30 slides

From YouTube to SHU Tube Part 1: The What and Why of SHU Tube October 4, 2009 From YouTube to

From YouTube to SHU Tube Part 1: The What and Why of SHU Tube October 4, 2009 From YouTube to SHU Tube About Seton Hall South Orange, NJ Founded 1856 10,000+ Students 70,000+ Living Alumni 150+ Programs October 4, 2009 From YouTube to

654 views • 48 slides

Strict validation versus accepting anything Evan Jones Bluecore Personalized e-commerce

Strict validation versus accepting anything Evan Jones Bluecore Personalized e-commerce marketing ~4 years ~140 employees ~35 engineers Recommendations need product data 2. Page loads JS Partner-specific JS 3. User action sent Data

505 views • 35 slides

Personalized Medical Devices Working Group Update Working Group Chair: Dr Elizabeth McGrath

Personalized Medical Devices Working Group Update Working Group Chair: Dr Elizabeth McGrath Therapeutic Goods Administration Department of Health, Australia NWIP Purpose Develop an IMDRF Technical Document that provides recommendations

451 views • 15 slides

ENTRANCE TICKET How do you define personalized learning? govote.at 70 50 76 1 DEFINITION OF

ENTRANCE TICKET How do you define personalized learning? govote.at 70 50 76 1 DEFINITION OF PERSONALIZED LEARNING Personalized learning is a progressively student driven model where students deeply engage in meaningful, authentic,

448 views • 24 slides

Web Mining and Recommender Systems Advanced Recommender Systems: Bayesian Personalized Ranking

Web Mining and Recommender Systems Advanced Recommender Systems: Bayesian Personalized Ranking Coming up Methodological papers Bayesian Personalized Ranking Factorizing Personalized Markov Chains Personalized Ranking Metric Embedding

1.14k views • 94 slides

PCORI and Personalized Medicine Personalized Medicine Coalition Policy Committee December 7,

PCORI and Personalized Medicine Personalized Medicine Coalition Policy Committee December 7, 2016 Joe Selby, MD MPH Executive Director, PCORI PCORIs Mission Statement: PCORI helps people make informed

359 views • 22 slides

FNFNES Recommendations Recommendations from the FNFNES are currently being finalized,

FNFNES Recommendations Recommendations from the FNFNES are currently being finalized, subject to feedback received at this Forum. A number of recommendations are currently being considered. Recommendations (1/3) 1. The authors of

220 views • 5 slides

Deep Multi-Task and Meta-Learning CS 330 Introductions Chelsea Finn Karol Hausman Rafael

Deep Multi-Task and Meta-Learning CS 330 Introductions Chelsea Finn Karol Hausman Rafael Rafailov Dilip Arumugan Mason Swo ff ord Albert Tung Instructor Co-Lecturer TA TA TA TA More TAs coming soon. Were here Image source:

740 views • 48 slides

Marketing 360 Online Marketing Best Practices For Accommodation & Travel Organisations

Marketing 360 Online Marketing Best Practices For Accommodation & Travel Organisations Chris Adams, GM South Pacific Director of Research Kia Ora! CHRIS ADAMS Director of Research & Online Marketing GM, South Pacific Website

845 views • 82 slides

CSE 311: Foundations of Computing Lecture 15: Recursion & Strong Induction Applications:

CSE 311: Foundations of Computing Lecture 15: Recursion & Strong Induction Applications: Fibonacci & Euclid More Recursive Definitions Suppose that : . Then we have familiar summation notation: = (0)

599 views • 32 slides

Performance Reviews and Goal Setting 1 Agenda The value of performance management

Performance Reviews and Goal Setting 1 Agenda The value of performance management Setting expectations and goals 2 Performance Management Is an Ongoing Process Set expectations Provide feedback Document, discuss, and reward 3

328 views • 5 slides

Teaching old type systems Teaching old type systems new tricks with type providers new tricks

Teaching old type systems Teaching old type systems new tricks with type providers new tricks with type providers Tomas Petricek Tomas Petricek University of Kent and The Alan Turing Institute http://tomasp.net tomas@tomasp.net @tomaspetricek

839 views • 38 slides

Multiuser Positioning Ronald Raulefs, Siwei Zhang, Wei Wang DLR: www.dlr.de/kn WHERE2 Project:

www.DLR.de Chart 1 > Multiuser Positioning > Ronald Raulefs 4 th COST Workshop > 09.10.2013 Multiuser Positioning Ronald Raulefs, Siwei Zhang, Wei Wang DLR: www.dlr.de/kn WHERE2 Project: www.ict-where2.eu www.DLR.de

545 views • 25 slides

FPAKE: Fuzzy Password- Authen6cated Key Exchange Sophia

FPAKE: Fuzzy Password- Authen6cated Key Exchange Sophia Yakoubov joint work with Pierre-Alain Dupont, Julia Hesse, David Pointcheval, Leonid Reyzin 1

843 views • 43 slides

AIRS and GPS Occultation: Validation at the Tropopause and Pressure Retrieval Stephen Leroy (JPL)

AIRS and GPS Occultation: Validation at the Tropopause and Pressure Retrieval Stephen Leroy (JPL) May 2, 2002 AIRS Science Team Meeting, May 2, AIRS and GPS Occultation (Leroy) 1 2002 Outline What are occultations? Characteristics and

344 views • 19 slides