Logan L Dillard

US Patent:

8290925, Oct 16, 2012

Filed:

Nov 15, 2010

Appl. No.:

12/946143

Inventors:

Balamurugan Anandan - West Lafayette IN, US
Logan Luyet Dillard - Seattle WA, US
James G. Robinson - Olympia WA, US

Assignee:

Amazon Technologies, Inc. - Reno NV

International Classification:

G06F 17/30

US Classification:

707707

Abstract:

Disclosed are various embodiments for locating product references in community content. Character sequences (n-grams) are extracted from a page of text content. Each n-gram is evaluated as a potential product reference using a product catalog search for the n-gram or a conditional probability for the n-gram. The conditional probability is obtained from behavior-based search data. When the search was used for the evaluation, each n-gram is found to be a potential product based on results from the product catalog search. When the behavior-based search data was used for the evaluation; each n-gram is found to be a potential product based on the conditional probability exceeding a threshold.

US Patent:

8359285, Jan 22, 2013

Filed:

Sep 18, 2009

Appl. No.:

12/562759

Inventors:

Russell A. Dicker - Seattle WA, US
Scott Allen Mongrain - Seattle WA, US
Logan Luyet Dillard - Seattle WA, US

Assignee:

Amazon Technologies, Inc. - Reno NV

International Classification:

G06F 17/00
G06F 7/00
G06Q 30/00

US Classification:

706 45, 705 261, 707705

Abstract:

Disclosed are various embodiments of generating item recommendations. A user submitted query associated with a category of items in an electronic repository is received, each of the items being associated with reviews. Reviews relevant to the user submitted query are identified. Reviews relevant to the user submitted query are displayed with a user voting element. The user voting element allows a user to vote whether the review is relevant to the user query. Further relevance to the user submitted query is determined based at least upon the vote.

US Patent:

8438149, May 7, 2013

Filed:

Sep 21, 2010

Appl. No.:

12/887290

Inventors:

Russell A. Dicker - Seattle WA, US
Logan Luyet Dillard - Seattle WA, US

Assignee:

Amazon Technologies, Inc. - Reno NV

International Classification:

G06F 17/30

US Classification:

707706, 707707

Abstract:

Disclosed are various embodiments generating network pages for search engines from data protected from search engines. A portion of data from a corpus of data that is protected from indexing by a search engine is extracted. A first network page is generated based at least in part on the portion of data. The first network page is configured for the search engine to index the portion of data. The first network page omits a context for the portion of data from the corpus of data. The first network page includes one or more links to a second network page that is protected from indexing by the search engine. The second network page provides access to the corpus of data.

US Patent:

8548876, Oct 1, 2013

Filed:

Jul 1, 2011

Appl. No.:

13/175046

Inventors:

Eric B. Fox - Seattle WA, US
Logan Luyet Dillard - Seattle WA, US

Assignee:

Amazon Technologies, Inc. - Reno NV

International Classification:

G06Q 30/00

US Classification:

705 267, 705 261, 705 2662, 705 271, 705 141, 705 729, 705 731, 705 732

Abstract:

Disclosed are various embodiments for selecting a subset of categories of product items to be used in merchandising. The subset of categories may be selected on a basis of a measured level of interest in the product items. Based on the subset of subcategories that have been selected, merchandising presentations may be automatically formulated and presented to a customer.

US Patent:

8554701, Oct 8, 2013

Filed:

Mar 18, 2011

Appl. No.:

13/051309

Inventors:

Logan L. Dillard - Seattle WA, US
Eric B. Fox - Seattle WA, US
Russell A. Dicker - Seattle WA, US

Assignee:

Amazon Technologies, Inc. - Reno NV

International Classification:

G06F 15/18
G06N 99/00

US Classification:

706 12

Abstract:

Technologies are described herein for classifying sentences or phrases as expressing positive or negative sentiment based on machine learning from training data comprising sentences manually labeled as to sentiment. A list of terms is generated from the manually labeled sentences and sentiment scores are determined for the terms in the list of terms based on the manually labeled sentences. A collection of sentences or phrases may then be classified as to sentiment utilizing one or more logistic regression classifiers trained on the sentiment scores determined for the terms in the list of terms. The classified collection of sentences may be further analyzed to determine an overall majority sentiment regarding a topic discussed in the sentences and/or to extract specific sentences or phrases expressing a particular sentiment for display to a customer.

US Patent:

8645295, Feb 4, 2014

Filed:

Jul 27, 2009

Appl. No.:

12/510212

Inventors:

Logan Luyet Dillard - Seattle WA, US

Assignee:

Amazon Technologies, Inc. - Reno NV

International Classification:

G06E 1/00

US Classification:

706 20, 705 729

Abstract:

Users are enabled to provide structured ratings for various attributes of items or other such content in an electronic environment. Users are able to rate existing attributes associated with an item, or new attributes that the users want to associate with the item. In addition to allowing users to provide a rating for each attribute, users can be prompted to include information relating to these attributes in reviews for the respective item(s). Attributes can be automatically applied to various items using a process that determines aspects of items that are indicative of each attribute being relevant, and automatically applies the attributes to items having at least some of those or similar aspects. Various models and algorithms are described for providing such functionality.

US Patent:

20160328761, Nov 10, 2016

Filed:

Jul 20, 2016

Appl. No.:

15/214761

Inventors:

- Seattle WA, US
Logan Luyet Dillard - Seattle WA, US
Jason Roselander - Luxembourg, LU
Terrence W. Porter - Seattle WA, US
Brandon W. Porter - Auburn WA, US

International Classification:

G06Q 30/02
G06F 17/30

Abstract:

Disclosed are various embodiments for extracting an excerpt from a representative review of an item, such as an item available for purchase in an electronic commerce system. Attributes or categories used in reviews of an item may be identified and ranked according to consumer preference. Upon ranking the categories, an excerpt may be extracted from a review corresponding to a ranked one of the attributes or categories. The excerpt may be identified and extracted if a number of reviews for an item exceeds a threshold quantity as it may be impractical for a user to read every review written about the item.

US Patent:

20150100688, Apr 9, 2015

Filed:

Dec 12, 2014

Appl. No.:

14/568405

Inventors:

- Seattle WA, US
Siddharth Sriram - Seattle WA, US
Logan Luyet Dillard - Seattle WA, US
Eric B. Fox - Seattle WA, US

International Classification:

H04L 12/26
G06N 5/04

US Classification:

709224

Abstract:

Disclosed are various embodiments for tracking user behavior relative to a network page and identifying user interest in various content items of the network page according to the user behavior. A network page that includes multiple content items is rendered for display in a client. A user action is obtained relative to the network page. A user behavior report is sent to one or more servers. The user behavior report indicates the user action, a timestamp associated with the user action, and one or more of the content items that are associated with the user action.