Amazon Technologies, Inc.

John Michael Nilles

Blair Livingstone Hotchkies

Sarah Graham Williams

Brent Mills

Daniel R Parshall

Jason P Patrikios

Alexandru I Indrei

Sikandar Saifullah

Michel Leonard Goldstein

Michael Lee Brundage

Walter Manching Tseng

Paul Daniel Jaye

Sachin Birendra Singh

Max Lee Kanter

Pongsakorn Teeraparpwong

Sean Phillip Forde

David Charles Couvrette

Carl N Meister

Richard Everett Edwards, Iii

Lionel Bitoun

Cyrus Khoshnevisan

Guthrie Chipman Collin

Paula Marie Despins

Timothy John Craycroft

Nelson M Pereira

Rahul Chopra

Evgeniy V Perevodchikov

Fredrik Wass

Megan Duffy

Ron E Knapp

Jaikannan Ramamoorthy

Shiven Ramji

Halston Crites

John Koster, Iv

Sikander Saifullah

Michael G Yee

Systems, devices, and methods are provided for stable pseudonymous identifiers. A system may obtain first data, and obtain a first cryptographic key from a cryptography service. The system may determine, based at least in part on the first data and the first cryptographic key, a first hash output of a hash function. The system may determine that a mapping table does not include a first record associated with the first hash output. The system may create, in the mapping table, a first record comprising the first hash output and a random value. The system may provide the random value as a stable pseudonymous identifier of the first data. If the first cryptographic key is subject to a key rotation, the pseudonymous identifier of the first data may remain constant even though the value of the key changes as a result of the key rotation.

Techniques related to stable pseudonymous identifiers

The systems and methods are directed to identity resolution service (IRS) which may be used to enable accurate and faster conversion contribution analysis across multiple channels. IRS may be responsible for keeping track of relationships between user identifiers and for determining a user canonical identifier given a set of input identifiers and identity mappings. Users may utilize multiple devices and browsers to view advertisements and perform actions that result in conversion events. Users may be anonymous on one device but logged in and recognized on a different device and/or browser. The canonical identifier associated with a user may be used to obtain a full set of conversion events generated by the user and the full set of ad traffic to which the user was exposed. Conversion attribution analysis using the full set of conversion events and full set of ad traffic will result in accurate conversion rates for advertisers.

Identity resolution service

The systems and methods described herein enable measurement of the exposure of a user to advertising campaigns across different channels (e.g., websites accessed by web browsers of laptops, desktops, or mobile computers, electronic readers or tablets, applications on mobile devices, and the like) and credit the exposure of the user to the advertisement to a specific advertisement in the campaign along with subsequent shopping events generated by the user, such as visiting product detail pages, visiting the read all reviews page for a product, adding a product to a wish list, adding a product to a shopping cart, subscribing to a product through an online subscription service, and/or purchasing a product.

Cross-channel online advertising attribution

Disclosed are various embodiments for predictive page loading. Text entered by a user into a search query form is captured. If an evaluation of the size of the captured text or identity of characters in the captured text in accordance with a confidence criteria indicates that the confidence criteria is met, a speculative search query is provided to a server. The speculative search query includes a selected suggested search term. A received plurality of speculative search results is rendered in a hidden portion of a browser window. In response to receiving a user instruction to execute a committed search query that includes the at least one selected suggested search term, at least a portion of the received plurality of speculative search results is rendered in a visible portion of the browser window.

Predictive page loading based on text entry and search term suggestions

Disclosed are various embodiments for predictive page loading. A number of speculative search queries are provided to a server. Each speculative search query includes one of a plurality of suggested keywords. The number of speculative search queries is based on the number of suggested keywords. Responses corresponding to the speculative search queries are obtained. Each response includes a corresponding plurality of speculative search results. A portion of speculative search results from more than one of the responses is rendered in a hidden portion of a browser window. The portion of the speculative search results is rendered in a visible portion of the browser window in response to receiving a user instruction to execute a committed search query that includes a suggested keyword in one of the speculative queries.

Predictive page loading based on suggestion data

Disclosed are various embodiments for predictive network page loading. Content corresponding to a network request is obtained. A next network page associated with the obtained page content is predicted. If the prediction is confident relative to a predetermined confidence threshold, then a first network page is generated. The first network page includes the page content corresponding to the network request and a portion of content for the predicted network page. The generated first network page is provided to a client. A request for another network page is received. If the another network page in the request corresponds to the predicted next network page, a second network page is generated. The second network page includes the remainder of the content for the predicted page content.

Predictive page loading based on navigation

Effective color-aware search of a collection of content associated with one or more images is enabled. Content and/or its associated images may be automatically associated with representative palette colors in a suite of color palettes. Color palettes may be of a variety of types and have a hierarchical structure in which lower levels enable increasingly subtle distinctions between shades of color. Color palette hierarchies may be effectively presented, and appropriate portions emphasized based on associated search result sets. Search result sets may be refined and/or reordered in accordance with color palette selections and/or representative confidences of color palette selections for items at least referenced therein.

Color palette maps for color-aware search

Interactive color palettes for color-aware search

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Poulsbo, WA, United States of America

John Michael Nilles