document: Active objects : actions for entity-centric search We introduce an entity-centric search experience , called Active Objects , in which entity-bearing queries are paired with actions that can be performed on the entities . For example , given a query for a specific flashlight , we aim to present actions such as reading reviews , watching demo videos , and finding the best price online . In an annotation study conducted over a random sample of user query sessions , we found that a large proportion of queries in query logs involve actions on entities , calling for an automatic approach to identifying relevant actions for entity-bearing queries . In this paper , we pose the problem of finding actions that can be performed on entities as the problem of probabilistic inference in a graphical model that captures how an entity bearing query is generated . We design models of increasing complexity that capture latent factors such as entity type and intended actions that determine how a user writes a query in a search box , and the URL that they click on . Given a large collection of real-world queries and clicks from a commercial search engine , the models are learned efficiently through maximum likelihood estimation using an EM algorithm . Given a new query , probabilistic inference enables recommendation of a set of pertinent actions and hosts . We propose an evaluation methodology for measuring the relevance of our recommended actions , and show empirical evidence of the quality and the diversity of the discovered actions .
doc_bio_tags: B I O B O O O O O O O O O O O B I O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O B O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O B O