Identifying salient items in documents

摘要

A set of representations of item-page pairs of items and respective web pages that include the respective items is obtained, each representation including feature function values indicating weights associated with features of associated web pages, the features including page classification features. An annotated set of labeled training data that is annotated with salience annotation values of items for respective web pages that include the items is obtained. The salience annotation values are determined based on a soft function, by determining a first count of a total number of user queries associated with corresponding visits to the respective web pages, and determining a ratio of a second count to the first count, the second count determined as a cardinality of a subset of the corresponding visits that are associated with user queries that include the item, the subset included in the corresponding visits. Models are trained using the annotated set.

主权项

1. A system comprising:
a device that includes at least one processor, and a computer readable storage medium storing instructions for execution by the at least one processor, for implementing a salient item identification engine that:
obtains query data and corresponding click data that indicates web pages visited, in association with respectively corresponding user queries, based on information mined from a web search log; anddetermines a salience annotation value of an item for respective ones of the web pages, based on determining a first count of a total number of the user queries that are associated with one or more corresponding visits to the respective ones of the web pages, and determining a ratio of a second count to the first count, the second count determined as a cardinality of a subset of the corresponding visits that are associated with a group of the user queries that include the item, the subset included in the one or more corresponding visits.