recoreco

Fast item-to-item recommendations on the command line.

Quickstart

TBD.

Example: Finding related music artists with recoreco

$ git clone https://github.com/sscdotopen/recoreco.git && cd recoreco

http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/lastfm-360K.html

$ wget http://mtg.upf.edu/static/datasets/last.fm/lastfm-dataset-360K.tar.gz
$ tar xvfz lastfm-dataset-360K.tar.gz

$ head lastfm-dataset-360K/usersha1-artmbid-artname-plays.tsv 00000c289a1829a808ac09c00daf10bc3c4e223b 3bd73256-3905-4f3a-97e2-8b341527f805 betty blowtorch 2137 00000c289a1829a808ac09c00daf10bc3c4e223b f2fb0ff0-5679-42ec-a55c-15109ce6e320 die Ärzte 1099 00000c289a1829a808ac09c00daf10bc3c4e223b b3ae82c2-e60b-4551-a76d-6620f1b456aa melissa etheridge 897 00000c289a1829a808ac09c00daf10bc3c4e223b 3d6bbeb7-f90e-4d10-b440-e153c0d10b53 elvenking 717 00000c289a1829a808ac09c00daf10bc3c4e223b bbd2ffd7-17f4-4506-8572-c1ea58c3f9a8 juliette & the licks 706

$ cat lastfm-dataset-360K/usersha1-artmbid-artname-plays.tsv|cut -f1,3 > plays.csv

$ head plays.csv 00000c289a1829a808ac09c00daf10bc3c4e223b betty blowtorch 00000c289a1829a808ac09c00daf10bc3c4e223b die Ärzte 00000c289a1829a808ac09c00daf10bc3c4e223b melissa etheridge 00000c289a1829a808ac09c00daf10bc3c4e223b elvenking 00000c289a1829a808ac09c00daf10bc3c4e223b juliette & the licks

``` $ cargo run --release -- --inputfile=plays.csv --outputfile=artists.json

Reading plays.csv to compute data statistics (pass 1/2) Found 17535655 interactions between 358868 users and 292365 items. Reading plays.csv to compute 10 item indicators per item (pass 2/2) 194996130 cooccurrences observed, 34015ms training time, 292365 items rescored Writing indicators... ```

$ jq 'select(.for_item=="michael jackson")' artists.json

json { "for_item": "michael jackson", "indicated_items": [ "justin timberlake", "queen", "kanye west", "amy winehouse", "britney spears", "madonna", "rihanna", "beyoncé", "daft punk", "u2" ] }

$ jq 'select(.for_item=="black flag")' artists.json

json { "for_item": "black flag", "indicated_items": [ "minutemen", "misfits", "circle jerks", "hüsker dü", "dead kennedys", "minor threat", "fugazi", "descendents", "bad brains", "adolescents" ] }

Background

TBD.