Amazon Technologies, Inc.

David L Selinger

Dilip Kumar

Michelle K Anderson

Paat Rusmevichientong

Bhavnish H Lathia

John Michael Rauser

Toby Walker

Patrik Sundberg

Hoi-Cheung Pang

David Liu

Paat Rusmechientong

ShengHuo Zhu

A performance analysis system analyzes the performance of affiliate sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate sites to improve performance. An association mining component analyzes transaction data attributable to specific categories of affiliate sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within a marketplace or auction system.

Computer-based analysis of seller performance

A performance analysis system analyzes the performance of affiliate sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate web sites to improve performance. An association mining component analyzes transaction data attributable to specific categories or types of affiliate web sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within an online mall, online marketplace, or online auction system.

Computer-based analysis of affiliate site performance

A performance analysis engine analyzes the performance of affiliate web sites that provide links to specific items in an electronic catalog, and identifies catalog items that can be listed by such affiliate web sites to improve performance. An association mining component analyzes transaction data attributable to specific categories or types of affiliate web sites to identify items that are frequently purchased in combination by users of such sites. The detected item associations are used to evaluate, for a given affiliate site, whether significant disparities exist between the expected and actual sales quantities of specific items. The results of the analysis are incorporated into affiliate-specific performance reports, which may include specific recommendations for improving performance. The disclosed methods may also be used to analyze the performance of, and provide recommendations to, online sellers within an online mall, online marketplace, or online auction system.

Method and system for analyzing the performance of affiliate sites

An apparatus and methods advantageously select content items for dynamically-generated web pages in an intelligent and virtually autonomous manner. This permits the operator of the web site to rapidly identify and respond to trends, thereby advantageously updating the web site relatively quickly and efficiently without or with less time consuming and expensive manual labor. User interaction for a plurality of users with the web site is collected in a database. For various content items, the database is mined to extract relationships between probability and references of select attributes in probability models. When a new web page is requested, attributes, which can include attributes associated with a user, are used as references to the applicable probability models of selected content items, combined with value weighting to generate expected values, and selected for use in the web page at least partially based on the expected values.

Systems and methods for statistically selecting content items to be used in a dynamically-generated display

Computer processes are disclosed for identifying and informing users of early adopter items. In one embodiment, scores are generated for particular items represented in an electronic catalog, with each score reflecting an extent to which a corresponding item has been ordered by customers who tend to order items promptly after they become available. Information pertaining to such scores may be incorporated into item detail pages of the electronic catalog to assist customers in making item selection decisions. For example, the electronic catalog may identify specific items as early adopter items, and/or may display information pertaining to the degree to which specific items are early adopter items.

Growing community of inventors

Seattle, WA, United States of America

David L Selinger