Search Results - "Perego, Raffaele"

Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART.

Authors: Lucchese, Claudio Nardini, Franco Maria Orlando, Salvatore et al.

Source: ACM Transactions on Information Systems; Jul2025, Vol. 43 Issue 4, p1-37, 37p

Caching Historical Embeddings in Conversational Search.

Authors: Frieder, Ophir Mele, Ida Muntean, Cristina Ioana et al.

Source: ACM Transactions on the Web; Nov2024, Vol. 18 Issue 4, p1-19, 19p

Tuning the Capacity of Search Engines: Load-Driven Routing and Incremental Caching to Reduce and Balance the Load.

Authors: Puppin, Diego Silvestri, Fabrizio Perego, Raffaele

Source: ACM Transactions on Information Systems; May 2010, Vol. 28 Issue 2, p5:1-5:36, 36p

Boosting the Performance of Web Search Engines: Caching and Prefetching Query Results by Exploiting Historical Usage Data.

Authors: Fagni, Tiziano Perego, Raffaele Silvestri, Fabrizio

Source: ACM Transactions on Information Systems; January 2006, Vol. 24 Issue 1, p51-78, 28p

Weighting Passages Enhances Accuracy.

Authors: MUNTEAN, CRISTINA IOANA NARDINI, FRANCO MARIA PEREGO, RAFFAELE et al.

Source: ACM Transactions on Information Systems; 2021, Vol. 39 Issue 2, p1-26, 26p

Fast and Memory Efficient Mining of Frequent Closed Itemsets.

Authors: Lucchese, Claudio Orlando, Salvatore Perego, Raffaele

Source: IEEE Transactions on Knowledge & Data Engineering; January 2006, Vol. 18 Issue 1, p21-36, 16p

SEL: A unified algorithm for salient entity linking.

Authors: Trani, Salvatore Lucchese, Claudio Perego, Raffaele et al.

Source: Computational Intelligence; Feb2018, Vol. 34 Issue 1, p2-29, 28p

Compressed Indexes for Fast Search of Semantic Data.

Authors: Perego, Raffaele Pibiri, Giulio Ermanno Venturini, Rossano

Source: IEEE Transactions on Knowledge & Data Engineering. Sep2021, Vol. 33 Issue 9, p3187-3198. 12p.

Subjects: Pattern matching, Problem solving, Data structures, RDF (Document markup language)

Efficient traversal of decision tree ensembles with FPGAs.

Authors: Molina, Romina Loor, Fernando Gil-Costa, Veronica et al.

Source: Journal of Parallel & Distributed Computing; Sep2021, Vol. 155, p38-49, 12p

Discovering Tasks from Search Engine Query Logs.

Authors: LUCCHESE, CLAUDIO ORLANDO, SALVATORE PEREGO, RAFFAELE et al.

Source: ACM Transactions on Information Systems; Jul2013, Vol. 31 Issue 3, p14:1-14:43, 43p, 2 Diagrams, 25 Charts, 15 Graphs

PARK: Personalized academic retrieval with knowledge-graphs.

Authors: Kasela, Pranav Pasi, Gabriella Perego, Raffaele

Source: Information Systems; Oct2025, Vol. 134, pN.PAG-N.PAG, 1p

Report on the 43rd european conference on information retrieval (ECIR 2021).

Authors: Perego, Raffaele Sebastiani, Fabrizio

Source: SIGIR Forum. Jun2021, Vol. 55 Issue 1, p1-5. 5p.

Subjects: Information retrieval, COVID-19 pandemic, Information professionals, Small cities, Conferences & conventions

Geographic Terms: Tuscany (Italy)

Boosting learning to rank with user dynamics and continuation methods.

Authors: Ferro, Nicola Lucchese, Claudio Maistro, Maria et al.

Source: Information Retrieval Journal; Dec2020, Vol. 23 Issue 6, p528-554, 27p

Parallel Traversal of Large Ensembles of Decision Trees.

Authors: Lettich, Francesco Lucchese, Claudio Nardini, Franco Maria et al.

Source: IEEE Transactions on Parallel & Distributed Systems; Sep2019, Vol. 30 Issue 9, p2075-2089, 15p

Event attendance classification in social media.

Authors: de Lira, Vinicius Monteiro Macdonald, Craig Ounis, Iadh et al.

Source: Information Processing & Management; May2019, Vol. 56 Issue 3, p687-703, 17p

Transitioning the information retrieval literature to a fully open access model.

Authors: Hiemstra, Djoerd Moens, Marie-Francine Perego, Raffaele et al.

Source: SIGIR Forum; Jun2020, Vol. 54 Issue 1, p1-10, 10p

Quality versus efficiency in document scoring with learning-to-rank models.

Authors: Capannini, Gabriele Lucchese, Claudio Nardini, Franco Maria et al.

Source: Information Processing & Management; Nov2016, Vol. 52 Issue 6, p1161-1177, 17p

MAT‐Index: An index for fast multiple aspect trajectory similarity measuring.

Authors: de Souza, Ana Paula Ramos Renso, Chiara Perego, Raffaele et al.

Source: Transactions in GIS. Apr2022, Vol. 26 Issue 2, p691-716. 26p.

The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction.

Authors: Ferro, Nicola Fuhr, Norbert Grefenstette, Gregory et al.

Source: SIGIR Forum; Jun2018, Vol. 52 Issue 1, p91-101, 11p

Report on LEARNER 2017.

Authors: Ferro, Nicola Lucchese, Claudio Maistro, Maria et al.

Source: SIGIR Forum; Dec2017, Vol. 51 Issue 3, p145-151, 7p