Abstract:
An interactive system enables users to generate and submit lists of items (e.g., products selected from an electronic catalog) for viewing by other users. The user-generated lists are selectively suggested to users of the system based (or based in part) on ratings of the user-generated lists. These ratings may, for example, be based on explicit ratings of the lists by users, and/or measures of how effective the respective lists are at driving purchases of items. In some contexts, the system may select one or more user-generated lists to present to a user based on a set of items purchased, viewed, or otherwise selected by the user, or based on the results of a search query submitted by the user.
Abstract:
A method and system are disclosed for allowing a user to suggest information about content that can be utilized in processing subsequent searches. The suggested information may be different from a fixed set of information about an item, such as keywords, attributes or characteristics of an item, generally provided by a manufacturer or seller of the item. Users can submit to a service the information that they feel is relevant to the item, such as a brief explanation of relevance and a detailed explanation that would help other users to make a decision about the item. The submitted information may be associated with the item information and stored in a data store and utilized as additional attributes of the item for a search. In addition, when a user requests detail information about an item, the user-submitted information may be displayed to the user.
Abstract:
A system regulates server load by dynamically selecting variables that directly or indirectly control the type and/or quantity of processing performed in responding to content requests, such as requests for dynamically generated web pages. For example, the system may use current load level data to vary the sizes of input data sets used to generate personalized recommendations or other content for users.
Abstract:
A system regulates server load by dynamically selecting variables that directly or indirectly control the type and/or quantity of processing performed in responding to content requests, such as requests for dynamically generated web pages. For example, the system may use current load level data to vary the sizes of input data sets used to generate personalized recommendations or other content for users.