Implicit Relevance Feedback From A Multi-Step Search Process: A Use Of Query-Logs. Boscarino, C., de Vries, A. P., Hollink, V., & van Ossenbruggen, J. R. In Proceedings of ECIR 2011 Workshop on Information Retrieval Over Query Sessions 2011, March, 2011. Springer. Paper abstract bibtex We evaluate the use of clickthrough information as implicit relevance feedback in sessions. We employ records of user interactions with a search system for pictures retrieval: issued queries, clicked images, and purchased content; we investigate whether and how much of the past search history should be used in a feedback loop. We also assess the benefit of using clicked data as positive tokens of relevance to the task of estimating the probability of an image to be purchased.
@inproceedings{19578,
author = {Boscarino, C. and de Vries, A. P. and Hollink, V. and van Ossenbruggen, J. R.},
title = {Implicit {Relevance} {Feedback} {From} {A} {Multi-{Step}} {Search} {Process}: {A} {Use} {Of} {Query}{-{Logs}}},
booktitle = {Proceedings of ECIR 2011 Workshop on Information Retrieval Over Query Sessions 2011},
conferencetitle = {ECIR 2011 Workshop on Information Retrieval Over Query Sessions},
conferencedate = {2011, 2011-04-18},
conferencelocation = {Dublin (IRL)},
year = {2011},
month = {March},
publisher = {Springer},
refereed = {y},
keywords = {clickthrough data, language models, retrieval over sessions},
group = {INS2},
language = {en},
abstract = {We evaluate the use of clickthrough information as implicit relevance feedback in sessions. We employ records
of user interactions with a search system for pictures retrieval: issued queries, clicked images, and purchased content;
we investigate whether and how much of the past search history should be used in a feedback loop. We also assess the benefit
of using clicked data as positive tokens of relevance to the task of estimating the probability of an image to be purchased.},
url = {http://oai.cwi.nl/oai/asset/19578/19578B.pdf},
}
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