@inproceedings{4f35dd9d5b6d4c77ba9e2c857443bfaa,
title = "Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom",
abstract = "We introduce a re-ranking model that augments the functionality of standard search engines to aid classroom search activities for children (ages 6-11). This model extends the known listwise learning-to-rank framework by balancing risk and reward. Doing so enables the model to prioritize Web resources of high educational alignment, appropriateness, and adequate readability by analyzing the URLs, snippets, and page titles of Web resources retrieved by a mainstream search engine. Experimental results demonstrate the value of considering multiple perspectives inherent to the classroom when designing algorithms that can better support children's information discovery.",
keywords = "children's web search, ranking",
author = "Garrett Allen and Wright, \{Katherine Landau\} and Fails, \{Jerry Alan\} and Casey Kennington and Pera, \{Maria Soledad\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023 ; Conference date: 26-10-2023 Through 29-10-2023",
year = "2023",
doi = "10.1109/WI-IAT59888.2023.00050",
language = "English",
series = "Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "311--317",
booktitle = "Proceedings - 2023 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2023",
address = "United States",
}