Amazon Technologies, Inc.

David M Lifson

Sean William Blakey

Ian A McAllister

Scott Allen Mongrain

Eric F Gilmour

Clayton A Williams

Teresa E Batten

A method of providing recommendations is disclosed and includes receiving a selection of an offering via an online site. The method also includes outputting a detail page related to the offering via the online site. The detail page includes a first selectable indicator corresponding to a social network of a visitor and a second selectable indicator corresponding to unfiltered content. The method also includes outputting at least one recommendation via the detail page. Each recommendation is associated with a member of the social network when input received via the online site indicates a selection of the first selectable indicator.

System and method of providing recommendations

System and method of providing recommendations using social networks

Activity monitoring and replay techniques monitor and replay user consumption of content. To perform one of the techniques, event data from users that reflects the consumption of content is collected. The collected event data is used to infer one or more features in the content that are consumed by the user. The consumption of the one or more features by the user is replayed.

Monitoring and replaying user consumption of content

Activity monitoring techniques monitor user consumption of content. To perform one of the techniques, event data from users that reflects the consumption of content is collected. The collected event data is analyzed to infer a feature within the content that the users are presumed to have consumed. Based on the analysis, an estimated actual impression measurement that reflects aggregate consumption of the feature within the content by the users is determined.

Monitoring user consumption of content

Relative ranking of items is performed based on a subjective attribute of the items. A user interface that displays the relative ranking of the items includes an axis that corresponds to the subject attribute. The user interface further includes a display section that displays representations of the items along the axis according to rankings relative to the subjective attribute. The display section is also to present one or more additional items in response to customer input.

Relative ranking and discovery of items based on subjective attributes

Method, system, and computer readable medium for outputting offer recommendations from members of a social network

Relatively ranking items based on subjective attributes of the items, and for discovering these relatively ranked items. A voting server as described may include a voting application that receives an indication of an item of interest to a customer. Based on preferences indicated by customers, the voting application may rank the item and one or more other items for the subjective attribute. The voting application may also send data representing a user interface to a client system, with the user interface including representations of the item and the other item. The user interface may arrange the representations of the items along an axis corresponding to the subjective attribute.

A method of providing recommendations is disclosed and includes receiving input from a visitor of an online site. The input indicates a request to receive data related to an offering from an expert associated with the offering. In some embodiments, the method also includes sending a communication to the expert in response to the request. The communication requests data related to the offering.

An activity monitoring strategy monitors a user's consumption of content at a user device. To perform this operation, the activity monitoring strategy collects layout data that reflects the layout of the content as presented by the user device. The activity monitoring strategy then collects event data that reflects the user's consumption of the content. The activity monitoring strategy can use client-side executable functionality to implement the collecting of layout data and event data. The activity monitoring strategy asynchronously sends the collected data to a data analysis module where it is analyzed to determine features in the content that the user is presumed to have consumed. The activity monitoring strategy can apply the results of its analysis to modify the content, set the price charged for display of the features, etc.

A method of providing recommendations is disclosed and includes receiving input from a visitor of an online site. The input indicates a request to receive data related to an offering from a member of a social network associated with the visitor. The offering is available for purchase via the online site. The method also includes sending a communication to the member of the social network in response to the request. The communication requests data related to the offering.

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Seattle, WA, United States of America

David M Lifson