Arnie0426

5 ms·

1.
by Arnie0426 4y ago
Google should not be using the same data from different products it owns - or at least give users an option. I really don't want my YouTube Shorts to be impacted by what I saw on YouTube. I don't want my Google News (as @addicted
2.
Transforming Tajikistan: Between a Soviet Past and a Tajik Future(aljazeera.com)
1 points by Arnie0426 5y ago|0 comments
3.
Flipboard is focusing on local news Launched in 1000 cities(about.flipboard.com)
1 points by Arnie0426 6y ago|0 comments
4.
Peloton Is Betting You’ll Never Go Back to the Gym(flip.it)
1 points by Arnie0426 6y ago|0 comments
5.
Flipobard launches its own video service(about.flipboard.com)
1 points by Arnie0426 6y ago|0 comments
6.
by Arnie0426 6y ago
Flipboard is hiring a Senior Software Engineer in our recommendations team. Flipboard is a content discovery platform for your passions, interests, and news. Available on web, iOS, and Android, Flipboard offers the world important and influ
7.
Narrating the “Truth” in HBO’s Chernobyl(iamcr.org)
1 points by Arnie0426 6y ago|0 comments
8.
Building recommender systems – A curated collection of relevant posts(flipboard.com)
7 points by Arnie0426 6y ago|0 comments
9.
Coronavirus: Low antibody levels raise questions about reinfection risk – SCMP(flip.it)
4 points by Arnie0426 7y ago|0 comments
10.
by Arnie0426 7y ago
https://abhadury.com/ If you are interested in personalization and recommender systems (and causal inference).
11.
Flipboard: Local Coverage Expands to 35 Locales(about.flipboard.com)
1 points by Arnie0426 7y ago|0 comments
12.
Coronavirus Is a Disaster for Feminism(theatlantic.com)
8 points by Arnie0426 7y ago|4 comments
13.
Coronavirus Matters, The Stock Market Doesn’t(theintercept.com)
4 points by Arnie0426 7y ago|0 comments
14.
Coronavirus: The Hub – COVID19 news and analysis from trustworthy sources(flipboard.com)
8 points by Arnie0426 7y ago|0 comments
15.
A Case for Embeddings in Recommendation Problems(medium.com)
3 points by Arnie0426 7y ago|0 comments
16.
A Case for Embeddings in Recommendation Problems(abhadury.com)
30 points by Arnie0426 7y ago|0 comments
17.
by Arnie0426 7y ago
I love reading these two for Python/Recommender Systems: 1. Ben Frederickson: https://www.benfrederickson.com/blog/ 2. Erik Bernhardsson: https://erikbern.com/ And for pure ML: 1. Ferenc Huszár:
18.
Flipboard Expands into Local News(techcrunch.com)
10 points by Arnie0426 7y ago|0 comments
19.
by Arnie0426 7y ago
Good thing burning man is so soon, half of silicon valley is probably already well stocked and prepared.
20.
The condition we call exile – Losing your mother tongue(calvertjournal.com)
3 points by Arnie0426 7y ago|0 comments
21.
by Arnie0426 7y ago
Thanks for your question! As long as you can compute the probability of each item being shown (regardless of whether it's uniform random or through your algorithm) to each user, the method still applies. While it does seem more palatab
22.
by Arnie0426 7y ago
As long as you know which items are random, and you can compute the probability of each item (regardless of whether it's uniform random or through your algorithm) for each user, the method still applies. While it does seem more palatab
23.
Simulating A/B tests offline with counterfactual inference(abhadury.com)
57 points by Arnie0426 7y ago|3 comments
24.
Digital colonialism is threatening the Global South(aljazeera.com)
2 points by Arnie0426 8y ago|0 comments
25.
by Arnie0426 8y ago
Agree with a lot of the comments here. I went through this very issue a couple of years back and I did end up reading a few of the books suggested in that thread and while they were good reads, I think I learned the most from my colleagues’
26.
An Analysis of the Worlds Leading Robots.txt Files(reddit.com)
4 points by Arnie0426 9y ago|0 comments
27.
Clustering Stories Using LDA – Flipboard Engineering(engineering.flipboard.com)
4 points by Arnie0426 9y ago|0 comments
28.
Flipboard Engineering: Detecting Trustworthy Domains(engineering.flipboard.com)
8 points by Arnie0426 10y ago|0 comments