US 2019/0163832 A1 · PREDICTIVE SEARCH CONTEXT SYSTEM FOR LOCATION INTERCEPT

Abstract

This disclosure describes techniques for analyzing search metadata associated with a client-initiated search performed via an internet search engine. Particularly, a Predictive Search Context (PSC) System is described that may analyze search metadata relative to client behavior data to provide a client with one or more recommendations. The recommendations may relate to an event, merchant, place, product, service, and/or category thereof. Further, the PSC system may use client behavior data (i.e., client behavior model) associated with a client, to predict a next, or near to next, probable location of the client. In this example, the PSC system may generate client behavior data based on client-initiated searches performed on client devices operated exclusively or non-exclusively by the client. In doing so, the PSC system may analyze search metadata associated with one of the client devices to identify the client and determine a next, or near to next probable location of the client.

Claims20

Dependent claims

A system comprising:

one or more processors;
memory coupled to the one or more processors, the memory including one or more modules that are executable by the one or more processors to:
receive a client location request that is associated with a client operating one or more client devices operating on a telecommunications network;
retrieve, from a data store, client behavior data associated with the client, the client behavior data including device identifiers of the one or more client devices, instances of historical search metadata that correspond to historical client-initiated searches performed by the client using the one or more client devices;
analyze the client behavior data to determine data patterns between the instances of historical search metadata;
and
determine a next location of the client based at least in part on the data patterns.

4 more elements

One or more non-transitory computer-readable media storing computer executable instructions that, when executed on one or more processors, cause the one or more processors to perform acts comprising:

receiving a request for a location of a client, the client being associated with one or more client devices operating on a telecommunications network;
retrieve, from a data store, client behavior data associated with the client, the client behavior data including device identifiers of the one or more client devices, instances of historical search metadata that correspond to historical client-initiated searches performed by the client using the one or more client devices;
generating a client behavior model associated with the client to identify data patterns between instances of current search metadata and instances of historical search metadata associated with the client, the client behavior model being based at least in part on client behavior data;
retrieve instances of current search metadata associated with the one or more client devices;
analyzing the instances of current search metadata relative to the client behavior model to identify data patterns between the instances of current search metadata and the instances of historical search metadata;
and
determining the location of the client, based at least in part on an analysis of the client behavior model.

4 more elements

A computer-implemented method, comprising:

under control of one or more processors:
receiving a request for a location of a client, the client being associated with one or client devices operating on a telecommunications network;
monitoring instances of current search metadata associated with client-initiated searches on one or more client devices;
retrieving, from a data store, client behavior data associated with the client, the client behavior data including instances of historical search metadata and corresponding search contexts;
analyzing the client behavior data to identify a similarity between the instances of current search metadata and the instances of historical search metadata;
identifying a particular instance of current search metadata based at least in part on a similarity between the particular instance of current search metadata and one of instances of historical search metadata being greater than a predetermined similarity threshold, the particular instance of current search metadata including a device identifier of a client device that performed a corresponding client-initiated search;
and
determining the location of the client, based at least in part on the device identifier associated with the particular instance of the current search metadata.

5 more elements

Dependencies are inferred from the claim text.

Predictive search context system for location intercept

Life of this patent

Predictive search context system for location intercept

Life of this patent

Abstract

Claims20