Lucas C Hansen, 4418824 93Rd Ave NE, Bothell, WA 98011

8301649, Oct 30, 2012

Sep 4, 2008

12/204663

Lucas P. Hansen - Seattle WA, US

Amazon Technologies, Inc. - Reno NV

G06F 7/00
G06F 17/30

707758

An advertiser submitting a sponsored ad to a provider can determine aspects of the ad, such as creative elements and bid price, based on a dynamic categorization of an item and/or landing page associated with the ad. An algorithm can be used that utilizes a browse tree for each item to be displayed to a user following a sponsored link, for example, and attempts to find a node in the browse tree that appears at the lowest level in the tree and with a sufficient appearance frequency. When consensus is reached for a node in the browse tree that meets these criteria, a corresponding categorization is determined, which can be used to determine appropriate aspects to be used for the sponsored ad, at least until enough information is obtained such that aspects can be determined independent of the categorization.

2016025, Sep 1, 2016

May 11, 2016

15/152389

- Reno NV, US
Lucas P. Hansen - Seattle WA, US

G06Q 30/02
G06F 17/30

A tiered approach to selecting landing pages to be associated with specific keywords allows optimal landing pages to be determined dynamically and updated continually. Suggestions for landing pages can come from a number of sources based upon any of a number of factors. A scalable set of algorithms can be used to analyze these suggestions based upon factors including those used for determining the suggestions. Each algorithm can generate a decision as to an optimal landing page to be associated with each keyword. A subsequent algorithm can analyze each decision as these decisions relate to at least one goal, and can select an optimal landing page based thereon. A sponsored link or other element can be associated with the keyword such that a user submitting a request containing the keyword can be presented with the sponsored link to the optimal landing page.

2014037, Dec 25, 2014

Sep 8, 2014

14/480517

- Reno NV, US
Lucas P. Hansen - Seattle WA, US

G06Q 30/02

705 1473

An advertiser submitting a sponsored ad to a provider can determine aspects of the ad, such as creative elements and bid price, based on a dynamic categorization of an item and/or landing page associated with the ad. An algorithm can be used that utilizes a browse tree for each item to be displayed to a user following a sponsored link, for example, and attempts to find a node in the browse tree that appears at the lowest level in the tree and with a sufficient appearance frequency. When consensus is reached for a node in the browse tree that meets these criteria, a corresponding categorization is determined, which can be used to determine appropriate aspects to be used for the sponsored ad, at least until enough information is obtained such that aspects can be determined independent of the categorization.