Models of Searching and Browsing: Languages, Studies, and Application
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2740-2746.
Abstract
We describe the formulation, construction, and evaluation of predictive models of human information seeking from a large dataset of Web search activities. We first introduce an expressive language for describing searching and browsing behavior, and use this language to characterize several prior studies of search behavior. Then, we focus on the construction of predictive models from the data. We review several analyses, including an exploration of the properties of users, queries, and search sessions that are most predictive of future behavior. We also investigate the influence of temporal delay on user actions, and representational tradeoffs with varying the number of steps of user activity considered. Finally, we discuss applications of the predictive models, and focus on the example of performing principled prefetching of content.
@inproceedings{ijcai2007p440,
title = {Models of Searching and Browsing: Languages, Studies, and Application},
author = {Downey, Doug and Dumais, Susan T. and Horvitz, Eric},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2740--2746},
year = {2007},
url = {https://ijcai.org/proceedings/2007/440},
}
TY - CPAPER TI - Models of Searching and Browsing: Languages, Studies, and Application AU - Downey, Doug AU - Dumais, Susan T. AU - Horvitz, Eric T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2740 EP - 2746 UR - https://ijcai.org/proceedings/2007/440 ER -Copied
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