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aakashjapi.com
Personal blog · aakashjapi.comprogrammingdata
aakashjapi.com is a personal blog at aakashjapi.com about programming and data. Since 2015, 4 different Hacker News readers have linked it 8 times, most often “Implementing a Text Search Engine with Ranking in Python”. No feed was found, so read it on the site itself.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
HN readers link this blog's full-text search article as an entry point into information retrieval, and as a resource for people looking for a text search engine tutorial.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Most-linked posts?
- Implementing a Text Search Engine with Ranking in Python3 people · 3 mentions · first linked 2015-07-29
What Hacker News says?
It doesn't learn, it fully supervised and doesn't have feedback loop. I don't say it's not interesting, it's step forward compared to other articles in my collection [1][2][3] about the same subject allows to dive easily into the metrics and heuristics used in IR. [1] https://www.youtube.com/watch?v=gJwFHSeFg44 [2] http://aakashjapi.com/fuckin-search-engines-how-do-they-work... [3] https://class.coursera.org/nlp/lec…
Comment linking /fuckin-search-engines-how-do-they-work/
on “Full-Text Search in JavaScript”Submitted Recommending Subreddits by Computing User Similarity as a story · 23 points
HN discussionA DDG search for "Text search engine python tutorial" find articles like http://aakashjapi.com/fuckin-search-engines-how-do-they-work... . There's a textbook at https://nlp.stanford.edu/IR-book/information-retrieval-book.... . These should be enough hints so you can find something closer to what you are looking for.
Comment linking /fuckin-search-engines-how-do-they-work/
on “Ask HN: How can I implement full-text search enginge”Submitted Implementing a Text Search Engine with Ranking in Python as a story · 3 points
HN discussionSubmitted Analyzing Rent Prices in Berkeley as a story · 2 points
HN discussionSubmitted Mimicking Writing Style with Markov Chains as a story · 2 points
HN discussionSubmitted Choosing Your First (Engineering) Job as a story · 1 points
HN discussionSubmitted Caching in Java with JOOQ and Redis as a story · 1 points
HN discussion