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Travelled to:
1 × Austria
1 × Canada
1 × Germany
1 × Ireland
1 × Portugal
1 × South Korea
1 × Spain
11 × USA
2 × China
2 × Switzerland
Collaborated with:
R.D.Burke J.Cleland-Huang N.Hariri C.Castro-Herrera C.Duan Y.Zheng J.Gemmell X.Jin Y.Zhou X.Amatriain T.Schimoler H.Dumitru A.Sieg J.J.Sandvig M.H.Aghdam A.Shepitsen C.Williams R.Bhaumik C.McMillan D.Poshyvanyk M.Ramezani L.Christiansen M.Gibiec M.Mirakhorli
Talks about:
recommend (20) system (8) requir (5) base (5) context (4) mine (4) use (4) contextu (3) collabor (3) softwar (3)

Person: Bamshad Mobasher

DBLP DBLP: Mobasher:Bamshad

Facilitated 2 volumes:

RecSys 2011Ed
RecSys 2008Ed

Contributed to:

REFSQ 20152015
RecSys 20152015
CIKM 20142014
KDD 20142014
RecSys 20142014
SAC 20142014
RecSys 20132013
ICSE 20122012
RecSys 20122012
ICSE 20112011
CIKM 20102010
RE 20092009
RecSys 20092009
SAC 20092009
CIKM 20082008
RE 20082008
RecSys 20082008
CIKM 20072007
RecSys 20072007
KDD 20062006
KDD 20052005
KDD 20042004

Wrote 24 papers:

REFSQ-2015-DuanDCM #clustering #online #requirements
User-Constrained Clustering in Online Requirements Forums (CD, HD, JCH, BM), pp. 284–299.
RecSys-2015-AghdamHMB #adaptation #markov #modelling #recommendation #using
Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models (MHA, NH, BM, RDB), pp. 241–244.
CIKM-2014-ZhengMB #recommendation
Deviation-Based Contextual SLIM Recommenders (YZ, BM, RDB), pp. 271–280.
KDD-2014-AmatriainM #problem #recommendation #tutorial
The recommender problem revisited: morning tutorial (XA, BM), p. 1971.
RecSys-2014-HaririMB #adaptation #interactive #recommendation
Context adaptation in interactive recommender systems (NH, BM, RDB), pp. 41–48.
RecSys-2014-ZhengMB #algorithm #named #recommendation
CSLIM: contextual SLIM recommendation algorithms (YZ, BM, RDB), pp. 301–304.
SAC-2014-ZhengBM #empirical #recommendation
Splitting approaches for context-aware recommendation: an empirical study (YZ, RDB, BM), pp. 274–279.
RecSys-2013-HaririMB #recommendation
Query-driven context aware recommendation (NH, BM, RDB), pp. 9–16.
ICSE-2012-McMillanHPCM #agile #prototype #recommendation #source code
Recommending source code for use in rapid software prototypes (CM, NH, DP, JCH, BM), pp. 848–858.
RecSys-2012-HaririMB #music #recommendation #topic
Context-aware music recommendation based on latenttopic sequential patterns (NH, BM, RDB), pp. 131–138.
ICSE-2011-DumitruGHCMCM #mining #on-demand #recommendation
On-demand feature recommendations derived from mining public product descriptions (HD, MG, NH, JCH, BM, CCH, MM), pp. 181–190.
CIKM-2010-GemmellSMB #hybrid #recommendation #social
Hybrid tag recommendation for social annotation systems (JG, TS, BM, RDB), pp. 829–838.
RE-2009-Castro-HerreraCM #elicitation #online #recommendation #requirements
Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation (CCH, JCH, BM), pp. 37–46.
RecSys-2009-Castro-HerreraCM #evolution #online #recommendation
A recommender system for dynamically evolving online forums (CCH, JCH, BM), pp. 213–216.
RecSys-2009-GemmellRSCM #ambiguity #folksonomy #recommendation
The impact of ambiguity and redundancy on tag recommendation in folksonomies (JG, MR, TS, LC, BM), pp. 45–52.
SAC-2009-Castro-HerreraDCM #elicitation #recommendation #requirements #scalability
A recommender system for requirements elicitation in large-scale software projects (CCH, CD, JCH, BM), pp. 1419–1426.
CIKM-2008-DuanCM #approach #clustering #requirements
A consensus based approach to constrained clustering of software requirements (CD, JCH, BM), pp. 1073–1082.
RE-2008-Castro-HerreraDCM #data mining #elicitation #mining #process #recommendation #requirements #scalability #using
Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes (CCH, CD, JCH, BM), pp. 165–168.
RecSys-2008-ShepitsenGMB #clustering #personalisation #recommendation #social #using
Personalized recommendation in social tagging systems using hierarchical clustering (AS, JG, BM, RDB), pp. 259–266.
CIKM-2007-SiegMB #ontology #personalisation #web
Web search personalization with ontological user profiles (AS, BM, RDB), pp. 525–534.
RecSys-2007-SandvigMB #collaboration #mining #recommendation #robust
Robustness of collaborative recommendation based on association rule mining (JJS, BM, RDB), pp. 105–112.
KDD-2006-BurkeMWB #classification #collaboration #detection #recommendation
Classification features for attack detection in collaborative recommender systems (RDB, BM, CW, RB), pp. 542–547.
KDD-2005-JinZM #collaboration #recommendation #web
A maximum entropy web recommendation system: combining collaborative and content features (XJ, YZ, BM), pp. 612–617.
KDD-2004-JinZM #analysis #mining #probability #semantics #web
Web usage mining based on probabilistic latent semantic analysis (XJ, YZ, BM), pp. 197–205.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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