BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Australia
1 × Austria
1 × Chile
1 × China
1 × France
1 × Portugal
1 × Spain
1 × Switzerland
1 × United Kingdom
3 × USA
Collaborated with:
L.Rokach M.Taieb-Maimon G.Shani N.Ofek L.N.Dery M.Kalech G.Katz N.D.Betzalel V.Makarenkov A.Ostrikov A.Moskowitz Y.Nemeth O.Moreno V.Maidel P.Shoval A.Shtok O.Kurland E.Chapnik G.Siboni D.Ben-Shimon A.Tsikinovsky M.Friedmann J.Hörle A.Dayan G.Katz N.Biasdi A.Aydin R.Schwaiger R.Fishel
Talks about:
recommend (5) wikipedia (3) filter (3) use (3) collabor (2) queri (2) group (2) evalu (2) boost (2) base (2)

Person: Bracha Shapira

DBLP DBLP: Shapira:Bracha

Contributed to:

RecSys 20152015
SIGIR 20152015
RecSys 20142014
SIGIR 20142014
RecSys 20132013
SAC 20132013
CIKM 20122012
RecSys 20112011
RecSys 20102010
RecSys 20082008
SAC 20062006
SIGIR 20042004

Wrote 14 papers:

RecSys-2015-Ben-ShimonTFSRH #challenge #dataset
RecSys Challenge 2015 and the YOOCHOOSE Dataset (DBS, AT, MF, BS, LR, JH), pp. 357–358.
RecSys-2015-BetzalelSR #exclamation #quote #recommendation
“Please, Not Now!”: A Model for Timing Recommendations (NDB, BS, LR), pp. 297–300.
SIGIR-2015-ShapiraOM #information retrieval #wiki
Exploiting Wikipedia for Information Retrieval Tasks (BS, NO, VM), pp. 1137–1140.
RecSys-2014-DeryKRS #elicitation #recommendation
Preference elicitation for narrowing the recommended list for groups (LND, MK, LR, BS), pp. 333–336.
SIGIR-2014-KatzSKSR #performance #predict #query
Wikipedia-based query performance prediction (GK, AS, OK, BS, LR), pp. 1235–1238.
RecSys-2013-OstrikovRS #collaboration #metadata #using
Using geospatial metadata to boost collaborative filtering (AO, LR, BS), pp. 423–426.
SAC-2013-RokachSSCS #recommendation
Recommending insurance riders (LR, GS, BS, EC, GS), pp. 253–260.
CIKM-2012-MorenoSRS #learning #multi #named
TALMUD: transfer learning for multiple domains (OM, BS, LR, GS), pp. 425–434.
RecSys-2011-DayanKBRSASF #benchmark #framework #metric #recommendation
Recommenders benchmark framework (AD, GK, NB, LR, BS, AA, RS, RF), pp. 353–354.
RecSys-2011-KatzOSRS #collaboration #using #wiki
Using Wikipedia to boost collaborative filtering techniques (GK, NO, BS, LR, GS), pp. 285–288.
RecSys-2010-DeryKRS #nondeterminism #recommendation
Iterative voting under uncertainty for group recommender systems (LND, MK, LR, BS), pp. 265–268.
RecSys-2008-MaidelSST #evaluation #personalisation
Evaluation of an ontology-content based filtering method for a personalized newspaper (VM, PS, BS, MTM), pp. 91–98.
Study of the usefulness of known and new implicit indicators and their optimal combination for accurate inference of users interests (BS, MTM, AM), pp. 1118–1119.
SIGIR-2004-NemethST #automation #evaluation #interactive #query
Evaluation of the real and perceived value of automatic and interactive query expansion (YN, BS, MTM), pp. 526–527.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.