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Personalizing Web Search Results by Reading Level Kevyn Collins-Thompson
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BibTeX
@MISC{Bennett_personalizingweb,
author = {Paul N. Bennett and Ryen W. White and Sebastian De La Chica and David Sontag},
title = {Personalizing Web Search Results by Reading Level Kevyn Collins-Thompson},
year = {}
}
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Abstract
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web search engines do a poor job of serving an important segment of the population: children. While there are many important problems in interface design, content filtering, and results presentation related to addressing children’s search needs, perhaps the most fundamental challenge is simply that of providing relevant results at the right level of reading difficulty. At the opposite end of the proficiency spectrum, it may also be valuable for technical users to find more advanced material or to filter out material at lower levels of difficulty, such as tutorials and introductory texts. We show how reading level can provide a valuable new relevance signal for both general and personalized Web search. We describe models and algorithms to address the three key problems in improving relevance for search using reading difficulty: estimating user proficiency, estimating result difficulty, and re-ranking based on the difference between user and result reading level profiles. We evaluate our methods on a large volume of Web query traffic and provide a largescale log analysis that highlights the importance of finding results at an appropriate reading level for the user.
Keyphrases
web search result reading level kevyn collins-thompson relevant result poor job key problem technical user web query traffic result difficulty personalized web search many important problem appropriate reading level interface design reading proficiency document ranking valuable new relevance signal child search need largescale log analysis fundamental challenge web search engine user proficiency right level result presentation opposite end important segment introductory text reading level large volume advanced material content filtering proficiency spectrum search engine level profile
