Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom
Author:
Affiliation:
1. Delft University of Technology,Delft,The Netherlands
2. Boise State University,Boise,Idaho,United States
Funder
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10350035/10350061/10350087.pdf?arnumber=10350087
Reference53 articles.
1. Online searching and learning: YUM and other search tools for children and teachers
2. Bidirectional gru-based attention model for kid-specific url classification;Rajalakshmi;Deep Learning Techniques and Optimization Strategies in Big Data Analytics,2020
3. The false trade‐off of relevance for safety in children's search systems
4. Readability and word complexity of SERPs snippets and web pages on children’s search queries
5. Analysis of Children's Queries and Click Behavior on Ranked Results and Their Thought Processes in Google Search
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