The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 12, 2018

Filed:

Dec. 05, 2014
Applicant:

Homeaway.com, Inc., Austin, TX (US);

Inventors:

Ryan Hedley Turner, Austin, TX (US);

Daniel Steven Haligas, Panama City, FL (US);

Velayudhan Venugopal, Austin, TX (US);

Alex Holm Devine, Austin, TX (US);

Assignee:

HomeAway.com, Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 24/00 (2009.01); G07C 9/00 (2006.01); G06Q 30/06 (2012.01); H04L 29/12 (2006.01); H04M 15/00 (2006.01); G06Q 10/02 (2012.01); H04W 4/02 (2018.01); H04M 3/42 (2006.01);
U.S. Cl.
CPC ...
G07C 9/00166 (2013.01); G06Q 10/02 (2013.01); G06Q 30/0645 (2013.01); H04L 61/1529 (2013.01); H04M 15/56 (2013.01); H04W 4/021 (2013.01); H04W 4/028 (2013.01);
Abstract

Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for identifying activities and/or destinations of relative importance. More specifically, a system, a device and a method provide to predict activities (e.g., preferential activities) available at a geographic region association with lodging and to adaptively generate advisory data. In one or more embodiments, a method can include accessing traveler profile data associated with a user, identifying data representing a portion of traveler attributes associated with a geographic region including lodging for the user, and receiving data indicative of locality-related characteristics. The method also includes predicting a first activity as a function of a locality-related characteristic and a travel attribute, and generating customized advisory data configured to engage in an activity.


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