Abstract: A subset of a set of components is selected for inclusion on a dynamically-generated page within a particular user context. The subset of components is selected based on scores associated with the components in the set. The score of a component is preferably determined based on measurements of user activity resulting from exposures of the components to users in the particular context.

Abstract: A subset of a set of components is selected for inclusion on a dynamically-generated page within a particular user context. The subset of components is selected based on scores associated with the components in the set. The score of a component is preferably determined based on measurements of user activity resulting from exposures of the components to users in the particular context.

Abstract: A subset of a set of components is selected for inclusion on a dynamically-generated web page within a particular user context. Each component may, for example, contain content generated by a respective code module or service. The subset of components is selected based on scores associated with the components in the set. The score of a component is preferably determined based on measurements of user activity resulting from exposures of the components to users in the particular context.

Abstract: A subset of a set of components is selected for inclusion on a dynamically-generated web page within a particular user context. Each component may, for example, contain content generated by a respective code module or service. The subset of components is selected based on scores associated with the components in the set. The score of a component is preferably determined based on measurements of user activity resulting from exposures of the components to users in the particular context.

Abstract: A subset of a set of components is selected for inclusion on a dynamically-generated web page within a particular user context. Each component may, for example, contain content generated by a respective code module or service. The subset of components is selected based on scores associated with the components in the set. The score of a component is preferably determined based on measurements of desired user activity resulting from exposures of the components to users in the particular context, and reflects a likelihood that other users within the same context will perform a desired action. The disclosed methods may also be used to select items, such as products, to suggest to users within specific contexts.

Abstract: An interactive system enables users to generate and submit lists of items (e.g., products) for viewing by other users. The user-generated lists are selectively suggested to users of the system based on their respective behaviors, such as their item viewing activities, searches, and/or item purchases. The system may monitor the behaviors of users who access particular user-generated lists, and based on the monitored behaviors, generate measures of the effectiveness of particular lists (e.g., effectiveness at driving item purchases). The measures of effectiveness may be considered in selecting particular lists to suggest.

Abstract: An interactive system enables users to generate and submit lists of items (e.g., products) for viewing by other users. The user-generated lists are selectively suggested to users of the system based on their respective behaviors, such as their item viewing activities, searches, and/or item purchases. The system may monitor the behaviors of users who access particular user-generated lists, and based on the monitored behaviors, generate measures of the effectiveness of particular lists (e.g., effectiveness at driving item purchases). The measures of effectiveness may be considered in selecting particular lists to suggest.

Abstract: Information retrieval systems and methods are disclosed for presenting items of interest to a user of a computer-based data repository, where the items are presented in the form of lists generated by other users. Users of a data repository may generate lists of items from the repository that are accessible by other users. In various embodiments, users generating lists may add supplemental commentary about the items and other personalizing information. The information retrieval systems and methods store the user-generated lists for future presentation to other users. When a user of the data repository submits a search query, items returned in the query's results are interpreted to be items of interest to the user, and in response, one or more lists determined to be similar to the items of interest are presented to the user.

Abstract: Information retrieval systems and methods are disclosed for presenting items of interest to a user of a computer-based data repository, where the items are presented in the form of lists generated by other users. Users of a data repository may generate lists of items from the repository that are accessible by other users. In various embodiments, users generating lists may add supplemental commentary about the items and other personalizing information. The information retrieval systems and methods store the user-generated lists for future presentation to other users. The online activities of a user of the data repository are monitored, and, in response to the user indicating an interest in an item, one or more lists determined to be similar to the indicated item are presented to the user.

Abstract: Computer processes are disclosed for automatically refining the order and/or content of context-specific lists of items (e.g., products) based on monitored actions of users. One such process involves outputting context-specific lists of items to users together with selectable controls for initiating displays of similar items. When users opt to view similar items, the users' actions performed in connection with the similar items are recorded. If the resulting level of user activity recorded for a particular similar item is sufficiently high, the item is automatically added to the associated context-specific list.

Abstract: Computer processes are disclosed for automatically refining the order and/or content of context-specific lists of items (e.g., products) based on monitored actions of users. One such process involves outputting context-specific lists of items to users together with selectable controls for initiating displays of similar items. When users opt to view similar items, the users' actions performed in connection with the similar items are recorded. If the resulting level of user activity recorded for a particular similar item is sufficiently high, the item is automatically added to the associated context-specific list.

Abstract: Information retrieval systems and methods are disclosed for presenting items of interest to a user of a computer-based data repository, where the items are presented in the form of lists generated by other users. Users of a data repository may generate lists of items from the repository that are accessible by other users. In various embodiments, users generating lists may add supplemental commentary about the items and other personalizing information. The information retrieval systems and methods store the user-generated lists for future presentation to other users. When a user of the data repository submits a search query, items returned in the query's results are interpreted to be items of interest to the user, and in response, one or more lists determined to be similar to the items of interest are presented to the user.

Abstract: A computer-implemented system and method are disclosed that are capable of refining the order and/or content of a list of items. In one embodiment, user activity associated with each item displayed to users in a given context is monitored, and is used together with item exposure data to generate context-specific item weights. The weights for the same item in different contexts may be different. The selection of items included in a list presented to users, and/or the order in which the items in the list are displayed, may be adjusted over time based upon the relative weights associated with the items.

Abstract: The invention comprises a computer-implemented system and method for refining the order and/or content of a list of items. In one embodiment, the amount of user activity associated with each item displayed to users in a given context is monitored, used is to generate context-specific item weights. The weights for the same item in different contexts may be different. The selection of items included in a list presented to users, as well as the order in which the items in the list are displayed, may be adjusted over time based upon the relative weights associated with the items. This allows the items generating the greatest user interest in a particular context to be presented to first, or otherwise emphasized.