RGU-ISTI-Essex at TREC 2011 session track (Contributo in atti di convegno)

Type

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

Label

• RGU-ISTI-Essex at TREC 2011 session track (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Alternative label

• Adeyanju I., Nardini F. M., Albakour M., Song D., Kruschwitz U. (2012)
  RGU-ISTI-Essex at TREC 2011 session track
  in International Text REtrieval Conference, Gaithersburg, Md. USA, 15-18 November 2011
  (literal)

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

• Adeyanju I., Nardini F. M., Albakour M., Song D., Kruschwitz U. (literal)

Pagina inizio

• 1 (literal)

Pagina fine

• 12 (literal)

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

• http://trec.nist.gov/pubs/trec20/papers/RGU.session.update.pdf (literal)

Rivista

• NIST special publication (Rivista)

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

• 12 (literal)

Note

• PuMa (literal)
• Scopu (literal)

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

• IDEAS Research Institute, The Robert Gordon University, Scotland, UK; CNR-ISTI, Pisa, Italy; School of Computer Science and Electronic Engineering, University of Essex, UK; IDEAS Research Institute, The Robert Gordon University, Scotland, UK; School of Computer Science and Electronic Engineering, University of Essex, UK (literal)

Titolo

• RGU-ISTI-Essex at TREC 2011 session track (literal)

Abstract

• Mining query recommendation from query logs has attracted a lot of attention in recent years. We propose to use query recommenda- tions extracted from the logs of a web search engine to solve the session track tasks. The runs are obtained by using the Search Shortcuts recom- mender system. The Search Shortcuts technique uses an inverted index and the concept of \" successful sessions\" present in a web search engine's query log to produce effective recommendations for both frequent and rare/unseen queries. We adapt the above technique as a query expan- sion tool and use it to expand the given queries for Session Track at TREC 2011. The expansion is generated by using a method which aims to consider all past queries in the session. The expansion terms obtained are then used to build a global, uniformly weighted, representation of the user session (RL2). Furthermore, the expansion terms are then combined with a ranked list of results in order to boost terms appearing more fre- quently in the final results lists (RL3). Finally, we also integrate dwell times and the weighting method obtained taking both result lists and clicks into account for assigning weights to the terms to expand the final query of the session. In addition to that, we submitted a baseline run. It is based on the observation that using the term \" wikipedia\" to expand the query resulted in a better retrieval performance for the tasks at last year's session track at TREC 2010. (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

• FRANCO MARIA NARDINI (Unità di personale esterno)

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Prodotto

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

Autore CNR di

• FRANCO MARIA NARDINI (Unità di personale esterno)

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

• NIST special publication (Rivista)

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• Parole chiave di "RGU-ISTI-Essex at TREC 2011 session track" (Insieme di parole chiave)