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