Travelled to:1 × Brazil
1 × Canada
1 × Cyprus
1 × France
1 × Ireland
2 × Spain
3 × Italy
3 × Switzerland
4 × USA
Collaborated with:Y.Manolopoulos M.Radovanovic M.Ivanovic A.N.Papadopoulos L.Schmidt-Thieme H.Gabriel M.Spiliopoulou P.Symeonidis Y.Theodoridis A.Mochalova J.Bauer D.Rafailidis ∅ L.B.Marinho R.Karimi C.Freudenthaler S.Rendle E.Tiakas D.Stojanovic S.Djordjevic-Kajan I.Karydis A.Stewart E.Diaz-Aviles W.Nejdl
Talks about:base (5) recommend (4) network (4) factor (4) dimension (3) cluster (3) tensor (3) tag (3) collabor (2) system (2)
Person: Alexandros Nanopoulos
DBLP: Nanopoulos:Alexandros
Contributed to:
2015
20142012
20102010
2010
2009
2009
2009200920082008
2007
20062005
2002
2001Wrote 19 papers:
- SAC-2015-MochalovaN #multi
- Multi-stage seed selection for viral marketing (AM, AN), pp. 1181–1183.
- RecSys-2014-BauerN #framework #matrix
- A framework for matrix factorization based on general distributions (JB, AN), pp. 249–256.
- RecSys-2014-RafailidisN #modelling
- Modeling the dynamics of user preferences in coupled tensor factorization (DR, AN), pp. 321–324.
- RecSys-2012-KarimiFNS #learning #matrix #recommendation
- Exploiting the characteristics of matrix factorization for active learning in recommender systems (RK, CF, AN, LST), pp. 317–320.
- KDIR-2010-GabrielSN #clustering #folksonomy #named #process
- Crosssense — Sensemaking in a Folksonomy with Cross-modal Clustering over Content and User Activities (HHG, MS, AN), pp. 100–111.
- SAC-2010-GabrielSN #clustering #matrix #similarity #using
- Eigenvector-based clustering using aggregated similarity matrices (HHG, MS, AN), pp. 1083–1087.
- SIGIR-2010-RadovanovicNI #modelling #on the
- On the existence of obstinate results in vector space models (MR, AN, MI), pp. 186–193.
- HT-2009-StewartDNMNS #network #personalisation #social
- Cross-tagging for personalized open social networking (AS, EDA, WN, LBM, AN, LST), pp. 271–278.
- ICML-2009-RadovanovicNI #nearest neighbour
- Nearest neighbors in high-dimensional data: the emergence and influence of hubs (MR, AN, MI), pp. 865–872.
- KDD-2009-RendleMNS #learning #ranking #recommendation
- Learning optimal ranking with tensor factorization for tag recommendation (SR, LBM, AN, LST), pp. 727–736.
- RecSys-2009-NanopoulosRI #collaboration #how #question
- How does high dimensionality affect collaborative filtering? (AN, MR, MI), pp. 293–296.
- RecSys-2009-SymeonidisNM #named #recommendation
- MoviExplain: a recommender system with explanations (PS, AN, YM), pp. 317–320.
- RecSys-2008-SymeonidisNM #recommendation #reduction
- Tag recommendations based on tensor dimensionality reduction (PS, AN, YM), pp. 43–50.
- SAC-2008-TiakasPNM #estimation #network
- Selectivity estimation in spatial networks (ET, ANP, AN, YM), pp. 852–856.
- ECIR-2007-Nanopoulos #collaboration #correlation #transitive
- Collaborative Filtering Based on Transitive Correlations Between Items (AN), pp. 368–380.
- ICEIS-DISI-2006-StojanovicDPN #mobile #network #query
- Continuous Range Query Processing for Network Constrained Mobile Objects (DS, SDK, ANP, AN), pp. 63–70.
- ICEIS-v1-2005-KarydisNPM #distance #network #retrieval
- Musical Retrieval in P2P Networks under the Warping Distance (IK, AN, ANP, YM), pp. 100–107.
- CIKM-2002-NanopoulosMT #algorithm #effectiveness #performance
- An efficient and effective algorithm for density biased sampling (AN, YM, YT), pp. 398–404.
- VLDB-2001-ManolopoulosT #clustering #named
- C2P: Clustering based on Closest Pairs (AN, YT, YM), pp. 331–340.