Ranked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections
Aleksandrs Slivkins and Filip Radlinski and Sreenivas Gollapudi

Info hash07eaf4e61b499e738b1283822e747bdb6c822993
Last mirror activity3d,14:42:18 ago
Size325.55kB (325,553 bytes)
Added2014-04-28 01:56:04
Views1206
Hits24603
ID1737
Typesingle
Downloaded55 time(s)
Uploaded by gravatar.com icon for user henryzlo
FilenameRanked Bandits in Metric Spaces: Learning Diverse Rankings over Large Document Collections.pdf
Mirrors1 complete, 0 downloading = 1 mirror(s) total [Log in to see full list]

No stats to report yet.

Send Feedback Start
   0.000006
DB Connect
   0.000585
Lookup hash in DB
   0.000524
Get torrent details
   0.000161
Get torrent details, finished
   0.000291
Get authors
   0.000001
Select authors
   0.000222
Parse bibtex
   0.000030
Write header
   0.000226
get stars
   0.000139
target tab
   0.000005
Request peers
   0.000309
Write table
   0.000012
geoloc peers
   0.012347
render right panel
   0.000012
render ads
   0.000799
fetch current hosters
   0.000378
Start get stats
   0.000488
End get stats
   0.000001
related datasets
   0.000730
Done