-
shima__shima
- 5385
- 0
- 2
- 0
-
- いいね！0
Tao Ye
@taoyeah
Erik Schmidt machine listening techniques MFCC, chromagram to learn music features @pandora_radio LSRS #recsys2014 pic.twitter.com/DgcNKjH0YL
2014-10-11 08:13:36
拡大
Florent F. Garcin
@ffgarcin
Inside pendora's awesome recommendations #recsys2014 pic.twitter.com/q9i50nQEe9
2014-10-11 08:14:38
拡大
Alejandro Bellogin
@abellogin
Measuring surprise in #recsys ir.ii.uam.es/redd2014/progr… M. Kaminskas now at #redd2014 #recsys2014
2014-10-11 08:17:13
ACM RecSys
@ACMRecSys
In the #redd2014 workshop, Marius is talking about how to measure surprise. #RecSys2014 pic.twitter.com/Yl3IUB7Vmt
2014-10-11 08:19:31
拡大
Aaron Lin
@AaronLin10
This is the power of data! Oh my god! #recsys2014 pic.twitter.com/tDqIUvUmZu
2014-10-11 08:20:59
拡大
RecSysTV
@RecSysTV
Next up Kohei Yamamoto with his paper that uses image features in video to aid in recommendation #RecSysTV
2014-10-11 08:22:10
Alejandro Bellogin
@abellogin
Comparability of #recsys #eval and Characteristics of Docear's Users ir.ii.uam.es/redd2014/progr… S. Langer at #redd2014 #recsys2014
2014-10-11 08:31:19
ACM RecSys
@ACMRecSys
Stefan from @Docear_org talking about #RecSys comparison #recsys2014 pic.twitter.com/afBYYeTmMk
2014-10-11 08:34:34
拡大
Humberto
@totopampin
Super happy about my prize for the short paper award at the @RecSysTV workshop #recsys2014 :)
2014-10-11 08:38:02
Alan Said
@alansaid
Older people higher ctr, females lower ctr at @Docear_org #redd2014 #recsys2014 pic.twitter.com/m5nNcjHgBP
2014-10-11 08:38:47
拡大
Panos Adamopoulos
@padamopoulos
Differences in recommender systems usage at Docear.org #recsys2014 #redd2014 pic.twitter.com/wReZ6IjX14
2014-10-11 08:39:07
拡大
Alejandro Bellogin
@abellogin
One more problem on #recsys reproducibility: we should also report user demographics (if we use a private dataset) #redd2014 #recsys2014
2014-10-11 08:42:55
Alan Said
@alansaid
First time I run from one workshop to another based on the ongoing twitter feed #recsys2014 #moe @RivalRec pic.twitter.com/YuUicBoDnh
2014-10-11 08:57:47
拡大
Tao Ye
@taoyeah
@YelpEngineering @DrScottClark open source MOE github.com/Yelp/MOE, LSRS talk at docs.google.com/viewer?a=v&pid… #recsys2014
2014-10-11 08:58:08
Panos Adamopoulos
@padamopoulos
Statistical significance testing in streaming environments at #redd2014 #recsys2014 pic.twitter.com/CRVQ3UZlEt
2014-10-11 09:04:12
拡大
Krishna Sankar
@ksankar
#JeffDean #recsys2014 #Google "write simple algorithms & feed lots of data; machines build the abstractions" goo.gl/O73U6N
2014-10-11 10:46:30
Panos Adamopoulos
@padamopoulos
New #recsys #data set people.stern.nyu.edu/padamopo/data/… #datascience #recsys2014
2014-10-11 11:59:59
Seen Feed
@SeenFeed
Top Highlights of #recsys2014 in 2620 tweets and 5 instagrams: seen.co/event/recsys-2…
2014-10-11 12:18:46
Seen Feed
@SeenFeed
Top Twitter users for #recsys2014 @alansaid, @xamat, @yahoolabs, @abellogin, @denisparra: seen.co/event/recsys-2…
2014-10-11 12:19:17
しましま
@shima__shima
午後は Recommender Systems Evaluation ir.ii.uam.es/redd2014/ のワークショップに出る
2014-10-11 13:16:40
しましま
@shima__shima
LinkedIn の中の人の講演は，表示していてもクリックされない知り合いかも？推薦で，どういう風にフェードアウトさせていくかとかのお話
2014-10-11 13:16:56
しましま
@shima__shima
Docear という文献推薦システムで個人属性情報の違いで推薦に対するCTRがどう違うかというデータはあまりみないものだ ir.ii.uam.es/redd2014/progr… CTRは，女性はが低く，高齢になると高くなるとか
2014-10-11 13:17:00
しましま
@shima__shima
これで今年のRecSysも終了．本会議のポスターに出していろいろ聞いていただけたのがよかった．情報中立推薦は話すと感触がいいのに国際会議通らない… (´ε｀；)ｳｰﾝ… 傾向としてはHCI系の話がちょっと減りぎみな感じがしたな
2014-10-11 13:19:30
Hideki Nakayama
@n_hidekey
RecSys'14 - 東京大学中山研究室 研究日記 (id:nlab_utokyo) d.hatena.ne.jp/nlab_utokyo/20… ちょっとだけRecSysの感想をまとめました。
2014-10-11 14:41:14