Temporal Query Intent Disambiguation using Time-Series Data

Conference paper (2016)

Authors

Y. Zhao Web Information Systems -

C. Hauff Web Information Systems -

Research Group

Web Information Systems () (TU Delft)

Information retrieval Information systems Query intent Information retrieval query processing

More Info

expand_more

To reference this document use:

http://resolver.tudelft.nl/uuid:0ca5aa2b-8cac-485f-8dde-8e3d58d0d453

Published Date

2016

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

Abstract

Understanding temporal intents behind users' queries is essential to meet users' time-related information needs. In order to classify queries according to their temporal intent (e.g. Past or Future), we explore the usage of time-series data derived from Wikipedia page views as a feature source. While existing works leverage either proprietary search engine query logs or highly processed and aggregated data (such as Google Trends) for this purpose, we investigate the utility of a freely available data source for this purpose. Our experiments on the NTCIR-12 Temporalia-2 dataset show, that Wikipedia pageview-based time-series data can significantly improve the disambiguation of temporal intents for specific types of queries, in particular those without temporal expressions present in the query string.