Amazon Technologies, Inc.

Alexander Michael Spinelli

Thomas Jay Hoover

Luis Antonio Diniz Fernandes De Morais Sarmento

Lisa Jane Hinegardner

Edward Thomas Banti

Tao Yu

Nick Ciubotariu

Lakshya Bhagat

Albert J Kennis

Neil Christopher Fritz

Wei Zhang

Joseph Bradley

Haris Husain

Michael Albert Galassi

William Kevan Bennett Kennedy

Nathan Andrew Sterken

Andrew James Will

Disclosed are various embodiments that involve selecting supplemental content. A compatibility rule is determined to require supplemental content from a first content provider to be a predetermined minimum distance from supplemental content from a second content provider. A layout is generated to include a first slot and a second slot. A first content item from the first content provider is assigned to the first slot, and a second content item from the second content provider is assigned to the second slot. A network page is generated using the layout.

Selecting supplemental content for inclusion in a network page

Disclosed are various embodiments for selecting page layouts based upon an outcome prediction associated with a request for a content page. Session variables associated with a request can be extracted. A score can be calculated based upon the session variables. The score can be generated by a machine learning engine that is trained using archived session data. A page layout can be selected based upon the generated score and a respective content page generated.

Generating a page layout based upon analysis of session variables with respect to a client device

A method and system for analyzing user behavior as users search for items within an electronic marketplace is provided. A query is submitted by a user of the electronic marketplace, the query is processed to identify a series of actions or behaviors performed by the user in relation to the query and fingerprint information for the query is determined based at least in part on analyzing the actions. In one embodiment, the electronic marketplace modifies a user experience for the user based on the fingerprint information. An interactive network region comprising search results related to a query issued by a user is generated, based on fingerprint information. Various categories of items related to a query issued by the user are identified based on fingerprint information and the search results are organized based on categories.

Category ranking based on query fingerprints

A method and system for analyzing user behavior as users search for items within an electronic marketplace is provided. A query is submitted by a user of the electronic marketplace, the query is processed to identify a series of actions or behaviors performed by the user in relation to the query and fingerprint information for the query is determined based at least in part on analyzing the actions. A classification for a query is determined based on the fingerprint information. In one embodiment, an electronic marketplace receives a query from a user, accesses a query classification database having fingerprint information, determines a fingerprint for the query based on the fingerprint information and dynamically modifies a user experience for the user based at least in part on the fingerprint information.

Generation and classification of query fingerprints

Disclosed are various embodiments that involve selecting supplemental content to be included with search results in a network page. At least one search result is generated by executing a search based at least in part on relevance to a search query. Supplemental content is selected based at least in part upon relevance to the search query without regard to the at least one search result. A subset of the supplemental content is selected in response to determining that the subset is permitted to be presented together in a search results page as defined by at least one compatibility rule. The search results page is generated to include the subset of the supplemental content and the search results.

Selecting supplemental content for inclusion in a search results page

A method and system for analyzing user behavior as users search for items within an electronic marketplace is provided. A query is submitted by a user of the electronic marketplace, the query is processed to identify a series of actions or behaviors performed by the user in relation to the query and fingerprint information for the query is determined based at least in part on analyzing the actions. In one embodiment, the electronic marketplace modifies a user experience for the user based on the fingerprint information. Search results presented to the user are modified by arranging items of the search results in accordance with one or more layouts and views based on query fingerprint information. Various categories of items related to a query issued by the user are identified based on fingerprint information and the search results are organized based on categories.

Generating modified search results based on query fingerprints

Generating category layouts based on query fingerprints

The present disclosure provides computer-implemented systems and processes for clustering items and improving the utility of item recommendations. One process involves applying a clustering algorithm to users' search session queries over periods of time to generate query clusters comprising correlated query terms. Correlations may be based on, among other things, the frequency of which query term pairs appear together in a single search session. The generated query clusters may be used to generate item descriptor clusters indicative of items and/or types of items that may be complementary. Other criteria may be applied to the query and item clusters to generate variant clusters. For example, information such as related brands, market segments, and other data may be applied to item descriptor clusters to generate item clusters that include complementary items associated with or targeted for particular demographics. Item descriptor clusters and item clusters can be used to improve the item recommendations.

Generating item clusters based on aggregated search history data

Identifying query fingerprints

Modifying user experience using query fingerprints

Disclosed are various embodiments that involve selecting supplemental content to be included in a search results page. A search query is received. A set of search results is generated by executing a search based at least in part on the search query. A subset of supplemental content providers is selected based at least in part on respective relevancies of the supplemental content providers to the search query. A search results page is generated. The search results page is configured to present supplemental content from the subset of supplemental content providers in association with the set of search results.

Growing community of inventors

Seattle, WA, United States of America

Alexander Michael Spinelli