My updates: recommended based on your downloads and searches

[synctext]

Enhance the frontscreen of Tribler with content items in the form of thumbnails.
These items are recommended based on popularity in general and fit with your profile.
Suggested GUI text: "My updates: recommended based on your downloads and searches"

Key inspiration (include in thesis.tex):

Related: #1549, #981

working code #634

Technical documentation: #372

[synctext]

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 6 thumbnails/channel)
• Continue watching
• Watch again

Each recommendation or profile entry can be easily deleted.

btw.. It is very aggressive to recommend new videos, one accidental "mylittlepony" click can ruin your recommendations. This problem was widely published already in 2002, If TiVo Thinks You Are Gay, Here's How to Set It Straight

[whirm]

You could always have a button to clear your preferences.

[synctext]

Delft University of Technology scientists 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 Controllability"

Very relevant work for this open issue.

Our system generates a play-list style listening experience based
on three types of seeds: artists, tracks, and genres. We use the active
user’s top artists, tracks, and genres as input seeds. It is worth
noting that the top artists and tracks are calculated by affinity,
which is a measure of expected user preference for a particular
track or artist based on her/his listening history. The number of
songs recommended through the use of a particular seed depends
on the weight of the seed’s type, and the priority of the used seed
among the seeds of the same type.

As more bands publish using Creative Commons or put their work into Tribler and obtain 100% of all tokens, this could be the way to discover music. Very suitable for a master thesis.

[synctext]

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 consumers want isn’t what’s good for society
   o Fake news, bias, Kardashians, violence
3. Gov’t, firms, etc. have other ideas
   o Censorship, capture, foreign manipulation, persuasive ads

[qstokkink]

Home screen thumbnails have been implemented and removed in Tribler, twice, with two full life-cycles of deployment.

The topic of personal recommendations has been split off and superseded by issues #7290 and #7586.