Person: Giovanni Semeraro

DBLP: Semeraro:Giovanni

Facilitated 1 volumes:

Ed

Contributed to:

2014

2011

2010

2009

2008

2006

2004

2004

2003

2003

2003

2001

2000

2000

1998

1997

1997

1997

1995

1995

1994

1993

1993

Wrote 23 papers:

ECIR-2014-NarducciPS #named #retrieval #semantics

CroSeR: Cross-language Semantic Retrieval of Open Government Data (FN, MP, GS), pp. 793–797.

RecSys-2011-LopsGSNM #network #social

Leveraging the linkedin social network data for extracting content-based user profiles (PL, MdG, GS, FN, CM), pp. 293–296.

SIGIR-2010-CaputoBS #approach #ranking #semantics

From fusion to re-ranking: a semantic approach (AC, PB, GS), pp. 815–816.

RecSys-2009-SemeraroLBG #recommendation

Knowledge infusion into content-based recommender systems (GS, PL, PB, MdG), pp. 301–304.

RecSys-2008-DegemmisLSB #recommendation #semantics

Integrating tags in a semantic content-based recommender (MD, PL, GS, PB), pp. 163–170.

ICEIS-AIDSS-2006-PetruzzellisLPSBP #personalisation #profiling

Personalized Incentive Plans through Employee Profiling (SP, OL, IP, GS, VB, CP), pp. 107–114.

ICEIS-v4-2004-DegemmisLSCLG #collaboration #hybrid #recommendation

A Hybrid Collaborative Recommender System Based on User Profiles (MD, PL, GS, MFC, OL, SG), pp. 162–169.

ICEIS-v5-2004-EspositoLLS #education #library #personalisation

Personalizing Digital Libraries for Education (FE, OL, PL, GS), pp. 279–284.

ECDL-2003-FrommholzBTNISBC #collaboration

Document-Centered Collaboration for Scholars in the Humanities — The COLLATE System (IF, HB, UT, EJN, LI, GS, MB, MC), pp. 434–445.

ECIR-2003-SemeraroDLTL #information management #personalisation #process #profiling

A Personalized Information Search Process Based on Dialoguing Agents and User Profiling (GS, MD, PL, UT, ML), pp. 613–621.

ICEIS-v4-2003-SemeraroLDL #learning

Learning User Profiles for Intelligent Search (GS, PL, MD, OL), pp. 426–429.

ECDL-2001-SemeraroFFE #classification #documentation #modelling

Document Classification and Interpretation through the Inference of Logic-Based Models (GS, SF, NF, FE), pp. 59–70.

ECDL-2000-SemeraroEFF #interactive #learning #library #profiling #tool support

Interaction Profiling in Digital Libraries through Learning Tools (GS, FE, NF, SF), pp. 229–238.

ICML-2000-EspositoFFS #refinement

Ideal Theory Refinement under Object Identity (FE, NF, SF, GS), pp. 263–270.

ECDL-1998-CostabileESFF #adaptation #interface #visual notation

Interacting With IDL: The Adaptive Visual Interface (MFC, FE, GS, NF, SF), pp. 515–534.

ECDL-1997-SemeraroEMFF #library #machine learning #online

Machine Learning + On-line Libraries = IDL (GS, FE, DM, NF, SF), pp. 195–214.

ICDAR-1997-EspositoMSAG #library #machine learning #semantics

Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques (FE, DM, GS, CDA, GdG), pp. 722–727.

LOPSTR-1997-SemeraroEMFF #datalog #framework #incremental #induction #logic #synthesis

A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories (GS, FE, DM, NF, SF), pp. 300–321.

ICDAR-v1-1995-EspositoMS #analysis #approach #knowledge-based #layout

A knowledge-based approach to the layout analysis (FE, DM, GS), pp. 466–471.

LOPSTR-1995-SemeraroEM #datalog #refinement #source code

Ideal Refinement of Datalog Programs (GS, FE, DM), pp. 120–136.

LOPSTR-1994-SemeraroEMBP #case study #learning #logic #source code

Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL (GS, FE, DM, CB, MJP), pp. 183–198.

ICDAR-1993-EspositoMS #automation #comprehension #documentation

Automated acquisition of rules for document understanding (FE, DM, GS), pp. 650–654.

SEKE-1993-EspositoMS #information management #machine learning #refinement

Machine Learning Techniques for Knowledge Acquisition and Refinement (FE, DM, GS), pp. 319–323.