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Communication Dans Un Congrès Année : 2013

HULTECH at the NTCIR-10 INTENT-2 Task: Discovering User Intents through Search Results Clustering

Gaël Dias

Résumé

In this paper, we describe our participation in the Subtopic Mining subtasks of the NTCIR-10 Intent-2 task, for the English language. For this subtask, we experiment a state-ofthe- art algorithm for search results clustering, the HISGKmeans algorithm and define the users’ intents based on the cluster labels following a general framework. From the Web snippets returned for a given query, our framework allows the discovery of users’ intents without (1) using the query logs databases provided by the organizers and (2) accessing any external knowledge base. Our best run outperforms the other participants’ submissions in terms of D-nDCG@10 and achieves high position in the general ranking.
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Dates et versions

hal-01074516 , version 1 (16-10-2014)

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  • HAL Id : hal-01074516 , version 1

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José G. Moreno, Gaël Dias. HULTECH at the NTCIR-10 INTENT-2 Task: Discovering User Intents through Search Results Clustering. 10th NTCIR conference, Jun 2013, Tokyo, Japan. 7 p. ⟨hal-01074516⟩
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