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.
Finding Related Forum Posts through Content Similarity over Intention-based Segmentation (Extended Abstract) / Papadimitriou, D.; Koutrika, G.; Velegrakis, Y.; Mylopoulos, J.. - (2018), pp. 1805-1806. ( 34th IEEE International Conference on Data Engineering, ICDE 2018 Paris 2018) [10.1109/ICDE.2018.00260].
Finding Related Forum Posts through Content Similarity over Intention-based Segmentation (Extended Abstract)
D. Papadimitriou;Y. Velegrakis;J. Mylopoulos
2018-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
