realfun

6 ms·

1. 1.▲
   by realfun 1y ago

   I think it would take quite a long while to achieve human-level anti-entropy in Agentic systems. Complex system requires tons of iterations, the confidence level of each iteration would drop unless there is a good recalibration system betwe
2. 2.▲
   by realfun 4y ago

   Agreed. It does need memorization. Anyone who don't think so can try to add and multiply in hexadecimal, what is 0xA + 0xC and what is 0x8 * 0x6? It becomes quite obvious memorization is required when you try it in any other radix othe
3. 3.▲
   by realfun 7y ago

   Roaring bitmap works surprisingly better than bloom filter in Elastic-search as skip list plugin, completely beats the built-in skip list function.
4. 4.▲
   Leveraging the power of roaring bitmap in Tinder recommendations(medium.com)

   1 points by realfun 7y ago|1 comments
5. 5.▲
   by realfun 8y ago

   Is there a reliable way to tell which airplane type before booking?
6. 6.▲
   by realfun 8y ago

   Part 2: https://tech.gotinder.com/geosharded-recommendations-part-2-...
7. 7.▲
   by realfun 8y ago

   Thanks for sharing EGreg. Elasticsearch has geo-indexing as well(based on geohash internally), and by default it does id hashing similar to what you said(murmurhash3), we actually leverages that for location based searches. The challenge ad
8. 8.▲
   by realfun 8y ago

   not just near the poles. Geohash distortion is already very obvious when you compare UK and countries in south Asia.
9. 9.▲
   by realfun 8y ago

   Same strategy can be applied regardless of ES version. ES6 does has index sorting and other optimizations, but not as good as pre-sharding for location based services, cases like Tinder.
10. 10.▲
    by realfun 8y ago

    geo-indexing is different from geo-sharding, search indexes normally have geo-indexing, but it is still one big index handles every single search. The alternative(geohash) is mentioned in article, which has high distortion around earth pole
11. 11.▲
    by realfun 8y ago

    Thanks for the suggestion and there are definitely room for optimization. In the original design we did consider approach similar to the "heatmap approach" you mentioned, it would reduce the shard movement for people who commutes
12. 12.▲
    Geosharded Recommendations with Hilbert Curve at Tinder(tech.gotinder.com)

    161 points by realfun 8y ago|43 comments
13. 13.▲
    Embedding Information in Text Documents(cs.columbia.edu)

    3 points by realfun 8y ago|0 comments