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Proceedings - Session 2010

Overview of the TREC 2010 Session Track

Evangelos Kanoulas, Paul D. Clough, Ben Carterette, Mark Sanderson

Abstract

Research in Information Retrieval has traditionally focused on serving the best results for a single query. In practice however users often enter queries in sessions of reformulations. The Sessions Track at TREC 2010 implements an initial experiment to evaluate the effectiveness of retrieval systems over single query reformulations.

Bibtex 
@inproceedings{DBLP:conf/trec/KanoulasCCS10,
    author = {Evangelos Kanoulas and Paul D. Clough and Ben Carterette and Mark Sanderson},
    editor = {Ellen M. Voorhees and Lori P. Buckland},
    title = {Overview of the {TREC} 2010 Session Track},
    booktitle = {Proceedings of The Nineteenth Text REtrieval Conference, {TREC} 2010, Gaithersburg, Maryland, USA, November 16-19, 2010},
    series = {{NIST} Special Publication},
    volume = {500-294},
    publisher = {National Institute of Standards and Technology {(NIST)}},
    year = {2010},
    url = {https://trec.nist.gov/pubs/trec19/papers/SESSION.OVERVIEW.2010.pdf},
    timestamp = {Wed, 07 Dec 2022 00:00:00 +0100},
    biburl = {https://dblp.org/rec/conf/trec/KanoulasCCS10.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

University of Essex at the TREC 2010 Session Track

M-Dyaa Albakour, Udo Kruschwitz, Jinzhong Niu, Maria Fasli

Abstract

This paper provides an overview of the experiments we carried out at the TREC 2010 Session Track. We propose an approach for interpreting reformulated queries by using query expansions derived from anchor logs which we envisage to be a potential alternative to query logs. We show that expansion with terms or phrases extracted from anchor logs improves the retrieval performance over a search session. We provide a detailed discussions of our runs which were among the top performing systems of the track.

Bibtex 
@inproceedings{DBLP:conf/trec/AlbakourKNF10,
    author = {M{-}Dyaa Albakour and Udo Kruschwitz and Jinzhong Niu and Maria Fasli},
    editor = {Ellen M. Voorhees and Lori P. Buckland},
    title = {University of Essex at the {TREC} 2010 Session Track},
    booktitle = {Proceedings of The Nineteenth Text REtrieval Conference, {TREC} 2010, Gaithersburg, Maryland, USA, November 16-19, 2010},
    series = {{NIST} Special Publication},
    volume = {500-294},
    publisher = {National Institute of Standards and Technology {(NIST)}},
    year = {2010},
    url = {http://trec.nist.gov/pubs/trec19/papers/univ.essex.session.rev.pdf},
    timestamp = {Thu, 12 Mar 2020 00:00:00 +0100},
    biburl = {https://dblp.org/rec/conf/trec/AlbakourKNF10.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

The University of Amsterdam at TREC 2010: Session, Entity and Relevance Feedback

Marc Bron, Jiyin He, Katja Hofmann, Edgar Meij, Maarten de Rijke, Manos Tsagkias, Wouter Weerkamp

Abstract

We describe the participation of the University of Amsterdam's ILPS group in the session, entity, and relevance feedback track at TREC 2010. In the Session Track we explore the use of blind relevance feedback to bias a follow-up query towards or against the topics covered in documents returned to the user in response to the original query. In the Entity Track REF task we experiment with a window size parameter to limit the amount of context considered by the entity co-occurrence models and explore the use of Freebase for type filtering, entity normalization and homepage finding. In the ELC task we use an approach that uses the number of links shared between candidate and example entities to rank candidates. In the Relevance Feedback Track we experiment with a novel model that uses Wikipedia to expand the query language model.

Bibtex 
@inproceedings{DBLP:conf/trec/BronHHMRTW10,
    author = {Marc Bron and Jiyin He and Katja Hofmann and Edgar Meij and Maarten de Rijke and Manos Tsagkias and Wouter Weerkamp},
    editor = {Ellen M. Voorhees and Lori P. Buckland},
    title = {The University of Amsterdam at {TREC} 2010: Session, Entity and Relevance Feedback},
    booktitle = {Proceedings of The Nineteenth Text REtrieval Conference, {TREC} 2010, Gaithersburg, Maryland, USA, November 16-19, 2010},
    series = {{NIST} Special Publication},
    volume = {500-294},
    publisher = {National Institute of Standards and Technology {(NIST)}},
    year = {2010},
    url = {http://trec.nist.gov/pubs/trec19/papers/univ.amsterdam.session.ent.RF.rev.pdf},
    timestamp = {Thu, 12 Mar 2020 00:00:00 +0100},
    biburl = {https://dblp.org/rec/conf/trec/BronHHMRTW10.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Webis at the TREC 2010 Sessions Track

Matthias Hagen, Benno Stein, Michael Völske

Abstract

In this paper we provide an overview of the Webis group's two-phase approach to the TREC 2010 Sessions track. In a preprocessing phase the queries are segmented to highlight contained concepts. In the final retrieval phase we treat Carnegie Mellon's ClueWeb search engine as a black box and apply the MAXIMUM QUERY framework.

Bibtex 
@inproceedings{DBLP:conf/trec/HagenSV10,
    author = {Matthias Hagen and Benno Stein and Michael V{\"{o}}lske},
    editor = {Ellen M. Voorhees and Lori P. Buckland},
    title = {Webis at the {TREC} 2010 Sessions Track},
    booktitle = {Proceedings of The Nineteenth Text REtrieval Conference, {TREC} 2010, Gaithersburg, Maryland, USA, November 16-19, 2010},
    series = {{NIST} Special Publication},
    volume = {500-294},
    publisher = {National Institute of Standards and Technology {(NIST)}},
    year = {2010},
    url = {http://trec.nist.gov/pubs/trec19/papers/bauhaus.univ.SESSION.rev.pdf},
    timestamp = {Thu, 12 Mar 2020 00:00:00 +0100},
    biburl = {https://dblp.org/rec/conf/trec/HagenSV10.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

University of Lugano at TREC 2010

Mostafa Keikha, Parvaz Mahdabi, Shima Gerani, Giacomo Inches, Javier Parapar, Mark James Carman, Fabio Crestani

Abstract

We report on the University of Lugano's participation in the Blog and Session tracks of TREC 2010. In particular we describe our system for performing blog distillation, faceted search, top stories identification and session reranking.

Bibtex 
@inproceedings{DBLP:conf/trec/KeikhaMGIPCC10,
    author = {Mostafa Keikha and Parvaz Mahdabi and Shima Gerani and Giacomo Inches and Javier Parapar and Mark James Carman and Fabio Crestani},
    editor = {Ellen M. Voorhees and Lori P. Buckland},
    title = {University of Lugano at {TREC} 2010},
    booktitle = {Proceedings of The Nineteenth Text REtrieval Conference, {TREC} 2010, Gaithersburg, Maryland, USA, November 16-19, 2010},
    series = {{NIST} Special Publication},
    volume = {500-294},
    publisher = {National Institute of Standards and Technology {(NIST)}},
    year = {2010},
    url = {http://trec.nist.gov/pubs/trec19/papers/univ.lugano.blog.session.pdf},
    timestamp = {Thu, 12 Mar 2020 00:00:00 +0100},
    biburl = {https://dblp.org/rec/conf/trec/KeikhaMGIPCC10.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

RMIT University at TREC 2010: Session Track

Sadegh Kharazmi, Falk Scholer, Mingfang Wu

Abstract

The 2010 session track aimed to investigate retrieval performance over a search session, taking into account the fact that users often need to re-formulate their initial queries to find useful documents. The experiments carried out by RMIT University investigated a simple strategy of joining query terms across a session, as well as the use of Google suggested queries and whether these can improve the quality of a search result list. For our experiments, we used the Lemur toolkit (version 4.12) to index and search the ClueWeb category B dataset. Ranking was carried out using a Dirichlet-smoothed language model. Query terms were stemmed using the Krovetz stemmer, and stopwords were not removed. Some queries contained punctuation (for example in URLs), and all punctuation was replaced with whitespace. (The only manual editing was that the the sequence “U.S.” was replaced with “USA”, but this could have been done automatically through the use of a simple acronym mapping table).

Bibtex 
@inproceedings{DBLP:conf/trec/KharazmiSW10,
    author = {Sadegh Kharazmi and Falk Scholer and Mingfang Wu},
    editor = {Ellen M. Voorhees and Lori P. Buckland},
    title = {{RMIT} University at {TREC} 2010: Session Track},
    booktitle = {Proceedings of The Nineteenth Text REtrieval Conference, {TREC} 2010, Gaithersburg, Maryland, USA, November 16-19, 2010},
    series = {{NIST} Special Publication},
    volume = {500-294},
    publisher = {National Institute of Standards and Technology {(NIST)}},
    year = {2010},
    url = {http://trec.nist.gov/pubs/trec19/papers/rmit.session.pdf},
    timestamp = {Thu, 12 Mar 2020 00:00:00 +0100},
    biburl = {https://dblp.org/rec/conf/trec/KharazmiSW10.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Cengage Learning at the TREC 2010 Session Track

Benjamin King, Ivan Provalov

Abstract

This paper details Cengage Leaning's TREC 2010 Session track submission and our efforts to improve retrieval performance over a user's session. We use a number of different techniques to achieve this goal including query term weighting, query expansion and re-ranking. In this paper we detail these techniques and the results of our submission. Using our query term weighting technique combined with our corpus term collocation query expansion we were able to achieve 0.2375 for the nsDCG@10.RL13 metric.

Bibtex 
@inproceedings{DBLP:conf/trec/KingP10,
    author = {Benjamin King and Ivan Provalov},
    editor = {Ellen M. Voorhees and Lori P. Buckland},
    title = {Cengage Learning at the {TREC} 2010 Session Track},
    booktitle = {Proceedings of The Nineteenth Text REtrieval Conference, {TREC} 2010, Gaithersburg, Maryland, USA, November 16-19, 2010},
    series = {{NIST} Special Publication},
    volume = {500-294},
    publisher = {National Institute of Standards and Technology {(NIST)}},
    year = {2010},
    url = {http://trec.nist.gov/pubs/trec19/papers/gale-cengage.rev.SESSION.pdf},
    timestamp = {Thu, 12 Mar 2020 00:00:00 +0100},
    biburl = {https://dblp.org/rec/conf/trec/KingP10.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}