The First Click is the Deepest: Assessing Information Scent Predictions for a Personalized Search Engine Export

@inproceedings{Church04, abstract = {“First-click behavior” describes one of the most commonly occurring tasks on the Web, where a user submits a query to a search engine, examines a list of results and chooses a link to follow. Even though this task is carried out a billion times a day, our understanding of the factors influencing this behavior is poorly developed. In this paper, we empirically evaluate information scent predictions for first-click behavior in the use of a personalized search engine, called I-SPY. Our experiments show that the predictive accuracy of current information foraging approaches is not good. To conclude, we advance a framework designed to understand first-click behavior and guide future research.}, author = {Church, K. and Keane, Mt and Smyth, B.}, booktitle = {AH2004 Workshop}, citeulike-article-id = {883757}, keywords = {information\_scent, search\_engines, web\_epistemology}, posted-at = {2006-10-04 16:24:50}, priority = {3}, title = {The First Click is the Deepest: Assessing Information Scent Predictions for a Personalized Search Engine}, year = {2004} }

TY - CONF ID - Church04 L3 - citeulike-article-id:883757 N2 - “First-click behavior” describes one of the most commonly occurring tasks on the Web, where a user submits a query to a search engine, examines a list of results and chooses a link to follow. Even though this task is carried out a billion times a day, our understanding of the factors influencing this behavior is poorly developed. In this paper, we empirically evaluate information scent predictions for first-click behavior in the use of a personalized search engine, called I-SPY. Our experiments show that the predictive accuracy of current information foraging approaches is not good. To conclude, we advance a framework designed to understand first-click behavior and guide future research. TI - The First Click is the Deepest: Assessing Information Scent Predictions for a Personalized Search Engine T2 - AH2004 Workshop KW - information_scent KW - search_engines KW - web_epistemology AU - Church, K AU - Keane, Mt AU - Smyth, B PY - 2004/// ER -