The effects of time on query flow graph-based models for query suggestion (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• The effects of time on query flow graph-based models for query suggestion (Contributo in atti di convegno) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Alternative label

• Baraglia R.; Castillo C.; Donato D.; Nardini F. M.; Perego R.; Silvestri F. (2010)
  The effects of time on query flow graph-based models for query suggestion
  in International Conference on Adaptivity, Personalization, and Fusion of Heterogeneous Information, Parigi, 28-30 Aprile 2010
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Baraglia R.; Castillo C.; Donato D.; Nardini F. M.; Perego R.; Silvestri F. (literal)

Pagina inizio

• 182 (literal)

Pagina fine

• 189 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://dl.acm.org/citation.cfm?id=1937055.1937102 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• Proceeding RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• RIAO '10 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: RIAO 2010 - International Conference on Adaptivity, Personalization, and Fusion of Heterogeneous Information (Parigi, 28-30 Aprile 2010). Proceedings, article n. 10. CID, 2010. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 8 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• ABSTRACT: A recent query-log mining approach for query recommendation is based on Query Flow Graphs, a markov-chain representation of the query reformulation process followed by users of Web Search Engines trying to satisfy their information needs. In this paper we aim at extending this model by providing methods for dealing with evolving data. In fact, users' interests change over time, and the knowledge extracted from query logs may suffer an aging effect as new interesting topics appear. Starting from this observation validated experimentally, we introduce a novel algorithm for updating an existing query flow graph. The proposed solution allows the recommendation model to be kept always updated without reconstructing it from scratch every time, by incrementally merging efficiently the past and present data. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ISTI, Pisa, Yahoo Reserch, Barcelona, Spain, Yahoo! Research, Barcelona, Spain (literal)

Titolo

• The effects of time on query flow graph-based models for query suggestion (literal)

Abstract

• A recent query-log mining approach for query recommendation is based on Query Flow Graphs, a markov-chain representation of the query reformulation process followed by users of Web Search Engines trying to satisfy their information needs. In this paper we aim at extending this model by providing methods for dealing with evolving data. In fact, users' interests change over time, and the knowledge extracted from query logs may suffer an aging effect as new interesting topics appear. Starting from this observation validated experimentally, we introduce a novel algorithm for updating an existing query flow graph. The proposed solution allows the recommendation model to be kept always updated without reconstructing it from scratch every time, by incrementally merging efficiently the past and present data. (literal)

Prodotto di

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Sistemi e algoritmi per Big Data (ICT.P09.006.001) (Modulo)

Autore CNR

• RANIERI BARAGLIA (Unità di personale interno)
• FRANCO MARIA NARDINI (Unità di personale esterno)
• RAFFAELE PEREGO (Unità di personale interno)
• FABRIZIO SILVESTRI (Persona)

Insieme di parole chiave

• Keywords of "The effects of time on query flow graph-based models for query suggestion" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• RAFFAELE PEREGO (Unità di personale interno)
• RANIERI BARAGLIA (Unità di personale interno)
• FABRIZIO SILVESTRI (Persona)
• FRANCO MARIA NARDINI (Unità di personale esterno)

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Sistemi e algoritmi per Big Data (ICT.P09.006.001) (Modulo)

Insieme di parole chiave di

• Keywords of "The effects of time on query flow graph-based models for query suggestion" (Insieme di parole chiave)