A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom

G Allen, KL Wright, JA Fails, C Kennington… - arXiv preprint arXiv …, 2023 - arxiv.org
We introduce a novel re-ranking model that aims to augment the functionality of standard
search engines to support classroom search activities for children (ages 6 to 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 given mainstream search engine. Experimental results …

Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom

G Allen, KL Wright, JA Fails… - … Conference on Web …, 2023 - ieeexplore.ieee.org
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 …
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