Towards an Understanding of Entity-Oriented Search Intents
This work addresses the need for better categorization of search intents in entity-oriented search, which is incremental as it builds on existing query analysis methods.
The paper tackled the problem of understanding entity-oriented search intents by developing a categorization scheme and annotating queries, finding that over half of refiners seek service interactions and over a quarter aim for knowledge base lookups.
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.