Finding related forum posts through content similarity over intention-based segmentation (extended abstract)

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    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
    PublisherIEEE
    Pages1805-1806
    Number of pages2
    ISBN (Electronic)9781538655207
    DOIs
    Publication statusPublished - 24 Oct 2018
    Event34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France
    Duration: 16 Apr 201819 Apr 2018

    Conference

    Conference34th IEEE International Conference on Data Engineering, ICDE 2018
    Country/TerritoryFrance
    CityParis
    Period16/04/1819/04/18

    Keywords

    • Clustering
    • Document
    • Retrieval
    • Segment
    • Top K

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