English

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