SYSTEM AND METHOD FOR QUERY TEMPORALITY ANALYSIS

摘要

A new approach is proposed that contemplates systems and methods to determine temporality of a query in order to generate a search result including a list of objects that are not only based on matching of the objects to the query but also based on temporality analysis of the query. Here, the temporality of the query can be defined as the distribution over time of the objects matching the query, i.e., the chronology histogram of the query. Such distribution can be analyzed to provide a classification of the intent of the query. Classification of the intent of the query can result either in discrete classification of the query into categories, or in continuous classification of the query which may be a scalar or vector value resulting from transformations of the chronology histogram.

主权项

1. A system, comprising:
a search engine with one or more processors, the one or more processors accepting a query from a user as part of a search request; the one or more processors retrieving a plurality of objects that match the query; the one or more processors determining a distribution over time of the objects matching the query for a temporality analysis of the query; the one or more processors analyzing the distribution over time of the objects to provide a classification of the query; the one or more processors generating a search result including the objects based objects matching the query and the classification of the query; one or more processors selecting a time window based on the time distribution of the objects matching the query among a given set of time windows; the one or more processors determining a temporality of a query to generate a search result including a list of objects that are based on objects matching the query and the temporality analysis of the query, where the temporality of the query is a distribution over the time window of the objects matching the query based on timestamp metadata of the objects matching the query; and the one or more processors ranking the list of objects.