HULTECH at the NTCIR-10 INTENT-2 Task: Discovering User Intents through Search Results Clustering
José G. Moreno, Gaël Dias · 2013
In this paper, we describe our participation in the Subtopic Mining subtasks of the NTCIR-10 Intent-2 task, for the En-glish language. For this subtask, we experiment a state-of-the-art algorithm for search results clustering, the HISGK-means 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.