2016
Conferences
Adrian Chifu; Serge Molina; Josiane Mothe
MyBestQuery: A serious game to collect manual query reformulation Conference
Colloque Veille Stratégique Scientifique et Technologique (VSST 2016), Rabat (Morocco), 2016.
Abstract | Links | BibTeX | Tags: Human Annotation, Information Retrieval, Query Reformulation, Serious Game
@conference{ChifuVSST2016,
title = {MyBestQuery: A serious game to collect manual query reformulation},
author = {Adrian Chifu and Serge Molina and Josiane Mothe},
url = {https://oatao.univ-toulouse.fr/18853/1/2016_VSST_CMM.pdf},
year = {2016},
date = {2016-10-18},
urldate = {2016-10-18},
booktitle = {Colloque Veille Stratégique Scientifique et Technologique (VSST 2016), Rabat (Morocco)},
abstract = {This paper presents MyBestQuery, a serious game designed to collect query reformulations from players. Query reformulation is a hot topic in information retrieval and covers many aspects. One of them is query reformulation analysis which is based on users’ session. It can be used to understand user's intent or to measure his satisfaction with regards to the results he obtained when querying the search engine. Automatic query reformulation is another aspect of query reformulation. It automatically expands the initial user’s query in order to improve the quality of the retrieved document set. This mechanism relies on document analysis but could also benefit from manually reformulated query analysis. Web search engines collect millions of search sessions and possible query reformulations. As academics, this information is hardly accessible for us. MyBestQuery is designed as a serious game in order to collect various possible reformulation users suggest. The more long-term objective of this work is to analyse the humanly produced query reformulation in order to both analyse manual query reformulation and compare them with the automatically produced reformulations. Preliminary results are reported in this paper.},
keywords = {Human Annotation, Information Retrieval, Query Reformulation, Serious Game},
pubstate = {published},
tppubtype = {conference}
}
This paper presents MyBestQuery, a serious game designed to collect query reformulations from players. Query reformulation is a hot topic in information retrieval and covers many aspects. One of them is query reformulation analysis which is based on users’ session. It can be used to understand user's intent or to measure his satisfaction with regards to the results he obtained when querying the search engine. Automatic query reformulation is another aspect of query reformulation. It automatically expands the initial user’s query in order to improve the quality of the retrieved document set. This mechanism relies on document analysis but could also benefit from manually reformulated query analysis. Web search engines collect millions of search sessions and possible query reformulations. As academics, this information is hardly accessible for us. MyBestQuery is designed as a serious game in order to collect various possible reformulation users suggest. The more long-term objective of this work is to analyse the humanly produced query reformulation in order to both analyse manual query reformulation and compare them with the automatically produced reformulations. Preliminary results are reported in this paper.
Adrian Chifu; Serge Molina; Josiane Mothe
MyBestQuery : un jeu sérieux pour apprendre des utilisateurs Conference
Conférence francophone en Recherche d'Information et Applications (CORIA 2016), Toulouse, 2016.
Abstract | Links | BibTeX | Tags: Crowdsourcing, Query Annotation, Search Engine, Serious Game, User Study
@conference{ChifuCORIA2016,
title = {MyBestQuery : un jeu sérieux pour apprendre des utilisateurs},
author = {Adrian Chifu and Serge Molina and Josiane Mothe},
url = {https://hal.archives-ouvertes.fr/hal-01534812/document},
year = {2016},
date = {2016-03-01},
urldate = {2016-03-01},
booktitle = {Conférence francophone en Recherche d'Information et Applications (CORIA 2016), Toulouse},
abstract = {Résumé :
MyBestQuery est un jeu sérieux qui collecte des éléments sur les requêtes soumises à un moteur de recherche: (i) la prédiction de la difficulté de la requête par le joueur (ii) des raisons possibles expliquant cette difficulté (iii) des propositions de reformulation.
Abstract:
MyBestQuery is a serious game designed to collect items from queries submitted to a search engine: (i) the query difficulty prediction (ii) the possible reasons for this difficulty (iii) other query formulations.},
keywords = {Crowdsourcing, Query Annotation, Search Engine, Serious Game, User Study},
pubstate = {published},
tppubtype = {conference}
}
Résumé :
MyBestQuery est un jeu sérieux qui collecte des éléments sur les requêtes soumises à un moteur de recherche: (i) la prédiction de la difficulté de la requête par le joueur (ii) des raisons possibles expliquant cette difficulté (iii) des propositions de reformulation.
Abstract:
MyBestQuery is a serious game designed to collect items from queries submitted to a search engine: (i) the query difficulty prediction (ii) the possible reasons for this difficulty (iii) other query formulations.
MyBestQuery est un jeu sérieux qui collecte des éléments sur les requêtes soumises à un moteur de recherche: (i) la prédiction de la difficulté de la requête par le joueur (ii) des raisons possibles expliquant cette difficulté (iii) des propositions de reformulation.
Abstract:
MyBestQuery is a serious game designed to collect items from queries submitted to a search engine: (i) the query difficulty prediction (ii) the possible reasons for this difficulty (iii) other query formulations.
TRANSLATE with x
English
TRANSLATE with
Enable collaborative features and customize widget: Bing Webmaster Portal