Skip to main content
27 events
when toggle format what by license comment
Sep 11 at 19:03 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
May 7 at 1:07 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jan 7 at 13:02 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Sep 7, 2023 at 20:13 comment added Nuclear Hoagie You haven't described a practical measure of performance for this data. You give the user a list of recommended articles, but don't describe any means of determining whether those articles are actually useful to the user or not. It seems most of the data would be unlabeled here, for which there is no concept of accuracy, precision, or recall - you can't know what proportion of the relevant items you found without knowing the relevance of every individual item.
Sep 7, 2023 at 20:04 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
May 10, 2023 at 12:07 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jan 8, 2023 at 20:04 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Aug 30, 2022 at 12:01 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Apr 30, 2022 at 1:00 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Mar 25, 2022 at 10:27 answer added Tim timeline score: 0
Mar 25, 2022 at 10:04 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Nov 24, 2021 at 7:00 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jul 25, 2021 at 23:06 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Mar 24, 2021 at 22:03 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Nov 17, 2020 at 6:02 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jul 17, 2020 at 22:08 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Mar 10, 2020 at 10:01 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Nov 8, 2019 at 16:02 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Oct 8, 2019 at 19:14 answer added Sebastian timeline score: 0
Oct 8, 2019 at 19:01 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jun 7, 2019 at 9:03 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Feb 6, 2019 at 6:01 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jun 17, 2016 at 0:00 answer added Help_please timeline score: 0
Jun 16, 2016 at 23:20 comment added jeff I see. then the number of false negatives should be the ones you returned but not in the user's library, which is not necessarily 0. right?
Jun 16, 2016 at 22:24 comment added Roy C @HalilPazarlama I guess a more appropriate definition for precision and recall for recommender systems would be, precision = (# of recommendations in the user's library)/(total number of recommendations), recall = (# of recommendations in the user's library)/(# of articles in the library).
Jun 16, 2016 at 22:18 comment added jeff It depends on your definition of true positive (i.e. a successful guess), hence your performance measure. this and this might be related.
Jun 16, 2016 at 21:06 history asked Roy C CC BY-SA 3.0