Towards an Understanding of Entity-Oriented Search Intents
Information Retrieval
2018-03-23 v1 Artificial Intelligence
Computation and Language
Abstract
Entity-oriented search deals with a wide variety of information needs, from displaying direct answers to interacting with services. In this work, we aim to understand what are prominent entity-oriented search intents and how they can be fulfilled. We develop a scheme of entity intent categories, and use them to annotate a sample of queries. Specifically, we annotate unique query refiners on the level of entity types. We observe that, on average, over half of those refiners seek to interact with a service, while over a quarter of the refiners search for information that may be looked up in a knowledge base.
Keywords
Cite
@article{arxiv.1802.08010,
title = {Towards an Understanding of Entity-Oriented Search Intents},
author = {Darío Garigliotti and Krisztian Balog},
journal= {arXiv preprint arXiv:1802.08010},
year = {2018}
}
Comments
Advances in Information Retrieval. Proceedings of the 40th European Conference on Information Retrieval (ECIR '18), 2018