Subtopic Ranking based on Hierarchical Headings

Tomohiro Manabe, Keishi Tajima

2016

Abstract

We propose methods for generating diversified rankings of subtopics of keyword queries. Our methods are characterized by their awareness of hierarchical heading structure in documents. The structure consists of nested logical blocks with headings. Each heading concisely describes the topic of its corresponding block. Therefore, hierarchical headings in documents reflect the hierarchical topics referred to in the documents. Based on this idea, our methods score subtopic candidates based on matching between them and hierarchical headings in documents. They give higher scores to candidates matching hierarchical headings associated to more contents. To diversify the resulting rankings, every time our methods adopt a candidate with the best score, our methods exclude the blocks matching the candidate and re-score all remaining blocks and candidates. According to our evaluation result based on the NTCIR data set, our methods generated significantly better subtopic rankings than query completion results by major commercial search engines.

Paper Citation

in Harvard Style

Manabe T. and Tajima K. (2016). Subtopic Ranking based on Hierarchical Headings . In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-186-1, pages 121-130. DOI: 10.5220/0005812401210130

in Bibtex Style

@conference{webist16,
author={Tomohiro Manabe and Keishi Tajima},
title={Subtopic Ranking based on Hierarchical Headings},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2016},
pages={121-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005812401210130},
isbn={978-989-758-186-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - Subtopic Ranking based on Hierarchical Headings
SN - 978-989-758-186-1
AU - Manabe T.
AU - Tajima K.
PY - 2016
SP - 121
EP - 130
DO - 10.5220/0005812401210130