Finding Related Forum Posts Through Content Similarity Over Intention-Based Segmentation (Extended Abstract)
2018 IEEE 34TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE)(2018)
摘要
We study the problem of finding related forum posts to a post at hand. We developed a multi-segment matching technique that considers posts as a set of segments each one written with a different goal in its author mind and computes the relatedness between two posts based on the similarity of their respective segments that are intended for the same goal. The questions are how our method identifies such segments, how it figures out for what each segment is intended and how it exploits this information to rank the posts. We experimentally illustrate the effectiveness and efficiency of our segmentation method and overall approach of finding related forum posts.
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关键词
clustering, segment, document, retrieval, top-k
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