Johan Pouwelse

ToDo: - start a 2-column IEEE format .tex paper - crawl and process allchannel votes, create a non-xkcd style picture - write down what you did and how it work....

- recent report + discussion: https://news.ycombinator.com/item?id=15055522 - Active conference series "[rebooting the web-of-trust](https://github.com/WebOfTrustInfo/rebooting-the-web-of-trust-fall2017)" - idealist vision: https://idcubed.org/home_page_feature/towards-post-industrial-networked-democracy-decentralized-data-commons-exchange-tokens-trust-value/ - motivational storyline also applies here: https://github.com/Tribler/tribler/issues/2783#issuecomment-324253362 - modification: the algorithm to divide...

- _A system without these drawbacks that consistently classifies peers as honest or dishonest does not currently exist._ Any web page, tweet, blog post, wikipedia edits, news article can be...

- Are social media trolls in scope [New Yorker](https://www.newyorker.com/news/our-columnists/how-trump-helps-russian-trolls) and [BBC](http://www.bbc.com/news/technology-41844025) plus [Bloomberg](https://www.bloomberg.com/view/articles/2017-11-02/facebook-ads-reveal-the-real-russian-game)? The [official report"Assessing Russian Activities and Intentions in Recent US Elections"](https://www.dni.gov/files/documents/ICA_2017_01.pdf), drafted and coordinated among The Central...

@ichorid See this ticket of related work. Especially the 8000 fake Twitter accounts.

Youtube also has a nice thumbnail-based navigation system. Key example for the Tribler User Experience. Youtube features: - Recommended (12 thumbnails) - Recommended channel for you (12 x channels with...

[Delft University of Technology scientists](https://scholar.google.com/citations?user=erMWZbAAAAAJ) published in RecSys '18 Proceedings of the 12th ACM Conference on Recommender Systems: "[Effects of Personal Characteristics on Music Recommender Systems with Different Levels of...

related work: economics of content recommendation, Media and Artificial Intelligence, Matthew Gentzkow, http://conference.nber.org/conf_papers/f114672.slides.pdf Sources of inefficiency 1. Consumers can’t find what they want o Imperfect search, matching, recommendations 2. What...

BEP33 for the win! Given the scalability and bandwidth efficiency this is very useful. Finally we can make progress with relevance ranking through BEP33 popularity.

Would like to make this feature a key issue of a next release. Such as 7.6 "Bug Fix" and then: 7.7 "search&popularity".