Travelled to:
1 × Canada
1 × Ireland
1 × South Korea
1 × Spain
1 × United Kingdom
4 × USA
Collaborated with:
L.M.Aiello M.Trevisiol I.Weber N.O'Hare R.Schifanella M.Lipczak B.Sigurbjörnsson Ç.Aslay L.Chiarandini B.Poblete R.O.G.Gavilanes M.Mendoza J.Y.Park C.Chung T.Stajner B.Thomee A.Popescu M.Pennacchiotti I.Guy P.Agulló P.Moore P.Nandy C.Nastar H.Schinzel
Talks about:
recommend (3) base (3) behavior (2) network (2) social (2) search (2) brows (2) user (2) news (2) imag (2)
Person: Alejandro Jaimes
DBLP: Jaimes:Alejandro
Contributed to:
Wrote 9 papers:
- CHI-2015-ParkOSJC #behaviour #image #scalability #web
- A Large-Scale Study of User Image Search Behavior on the Web (JYP, NO, RS, AJ, CWC), pp. 985–994.
- RecSys-2014-TrevisiolASJ #graph #recommendation
- Cold-start news recommendation with domain-dependent browse graph (MT, LMA, RS, AJ), pp. 81–88.
- KDD-2013-StajnerTPPJ #automation #social #social media
- Automatic selection of social media responses to news (TS, BT, AMP, MP, AJ), pp. 50–58.
- SIGIR-2013-AslayOAJ #network
- Competition-based networks for expert finding (ÇA, NO, LMA, AJ), pp. 1033–1036.
- HT-2012-LipczakSJ #comprehension #network #online #social
- Understanding and leveraging tag-based relations in on-line social networks (ML, BS, AJ), pp. 229–238.
- SIGIR-2012-TrevisiolCAJ #behaviour #image #ranking
- Image ranking based on user browsing behavior (MT, LC, LMA, AJ), pp. 445–454.
- CIKM-2011-PobleteGMJ #twitter
- Do all birds tweet the same?: characterizing twitter around the world (BP, ROGG, MM, AJ), pp. 1025–1030.
- CIKM-2010-WeberJ #data flow
- Demographic information flows (IW, AJ), pp. 1521–1524.
- RecSys-2010-GuyJAMNNS #industrial #perspective #recommendation
- Will recommenders kill search?: recommender systems — an industry perspective (IG, AJ, PA, PM, PN, CN, HS), pp. 7–12.