Abstract: Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service enables users to share information about their respective purchases with other users. Another service enables users to share information regarding the merchants with which they have conducted transactions.

Abstract: Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service enables users to share information about their respective purchases with other users. Another service enables users to share information regarding the merchants with which they have conducted transactions.

Abstract: Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service enables users to share information about their respective purchases with other users. Another service enables users to share information regarding the merchants with which they have conducted transactions.

Abstract: Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service enables users to share information about their respective purchases with other users. Another service enables users to share information regarding the merchants with which they have conducted transactions.

Abstract: A computer-implemented service analyzes collected data reflective of actions of users of an interactive system to identify items that are significantly more popular in specific user communities than in a general user population. The communities may, for example, include email-based communities (e.g., all users with email addresses associated with a particular company or other organization), shipping address based communities (e.g., all users with shipping addresses in Seattle), and/or communities based on other types of user attributes. The results of the analysis may be exposed to users to assist users in making item selection decisions, and/or may be used to provide item recommendations to users.

Abstract: Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service enables users to share information about their respective purchases with other users. Another service enables users to share information regarding the merchants with which they have conducted transactions.

Abstract: A computer-implemented service analyzes collected data reflective of actions of users of an interactive system to identify items that are significantly more popular in specific user communities than in a general user population. The communities may, for example, include email-based communities (e.g., all users with email addresses associated with a particular company or other organization), shipping address based communities (e.g., all users with shipping addresses in Seattle), and/or communities based on other types of user attributes. The results of the analysis may be exposed to users to assist users in making item selection decisions, and/or may be used to provide item recommendations to users.

Abstract: A computer-implemented service associated with an electronic catalog analyzes purchase histories of users, and/or other types of activity data reflective of user affinities for specific items, to identify items that are significantly more popular in specific user communities than in a general user population. The communities may, for example, include email-based communities (e.g., all users with email addresses associated with a particular company), shipping address based communities (e.g., all users with shipping addresses in Seattle), and/or communities based on other types of user attributes. In one embodiment, a user of the service can select a particular community, such as by selecting the name of a corresponding organization or geographic region, to view a list of items having relatively high popularity levels therein.

Abstract: Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service enables users to share information about their respective purchases with other users. Another service enables users to share information regarding the merchants with which they have conducted transactions.

Abstract: Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service detects when a first user accesses a web page associated with a particular merchant, and then attempts to identify, from a set of users who are affiliated with the first user, a second user who has engaged in business with this merchant. If such a second user is identified, the service notifies the first user, and provides an option or information for the first user to contact the second user regarding the merchant.

Abstract: A computer service associated with an electronic catalog of items enables users to explicitly elect to expose their respective purchase histories to other users. When a first user accesses an item in the electronic catalog, the service may notify the first user of one or more other users who have purchased the item. These other users may, for example, be contacts of the first user, or members of a community of which the first user is a member. The service may also facilitate communications between these users.

Abstract: Various computer-implemented services are disclosed for assisting users in selecting items from an electronic catalog, and for selecting merchants with which to conduct transactions. One such service detects when a first user accesses a web page associated with a particular merchant, and then attempts to identify, from a set of users who are affiliated with the first user, a second user who has engaged in business with this merchant. If such a second user is identified, the service notifies the first user, and provides an option or information for the first user to contact the second user regarding the merchant.

Abstract: Techniques are disclosed that reduce the computational complexity of PPM-based data compression through use of certain simplifying assumptions that permit faster search for a close-to-optimal PPM model than conventional techniques. The disclosed techniques permit the cost of the computationally-expensive model building task to be amortized over many compression/decompression cycles by maintaining a PersistentModel class, accessible to both the coder and decoder side of the system. This allows the computationally-expensive model building task to be performed only occasionally, as opposed to each time a message is coded. Furthermore, the model-building task is preferably scheduled to run at non-busy times, such that it minimizes user-perceptible service disruptions.

Abstract: A computer service monitors online browsing of an electronic catalog by a user, and notifies the user when a catalog item being accessed is one that has been purchased by an affiliated user, such as a contact or a fellow community member. The notification may include the contact information of the affiliated user, and/or may provide an option to send a message to the affiliated user.

Abstract: A Web based system provides informational services for assisting customers in selecting products or other types of items from an electronic catalog of a merchant. Users of the system can create and join user communities, such as communities based on user hobbies, localities, professions, and organizations. The system also supports implicit membership communities that are based on email addresses (e.g., all users having a “nasa.com” email address), shipping/billing addresses, and other known user information. Using purchase history data collected for online users, the system automatically identifies and generates lists of the most popular items (and/or items that are becoming popular) within particular communities, and makes such information available to users for viewing. For example, in the context of an online book store users of the nasa.com community may automatically be presented a Web page which lists the bestselling book titles among nasa.

Abstract: A Web based system provides informational services for assisting customers in selecting products or other types of items from an electronic catalog of a merchant. Users of the system can create and join user communities, such as communities based on user hobbies, localities, professions, and organizations. The system also supports implicit membership communities that are based on email addresses (e.g., all users having a “nasa.com” email address), shipping/billing addresses, and other known user information. Using purchase history data collected for online users, the system automatically identifies and generates lists of the most popular items (and/or items that are becoming popular) within particular communities, and makes such information available to users for viewing. For example, in the context of an online book store users of the nasa.com community may automatically be presented a Web page which lists the bestselling book titles among nasa.

Abstract: A system for providing to a user of a handheld device at least one of location-based information and time-based information includes a server assembly including (1) a server application and a server data storage medium; (2) activity site information periodically updated in the server data storage medium and pertaining to at least one activity site, the activity site information being correspondingly updated in a device data storage medium of the handheld device using a communication link between the handheld device and the server assembly; and (3) a client application on the handheld device adapted to (a) obtain reference location information identifying a reference location; (b) access the activity site information from the device data storage medium; (c) determine a relationship between the activity site information and the reference location, the relationship being at least one of a geographic relationship and a temporal relationship; (d) select at least a portion of the activity site information based on

Abstract: A computer-implemented service associated with an electronic catalog analyzes purchase histories of users, and/or other types of activity data reflective of user affinities for specific items, to identify items that are significantly more popular in specific user communities than in a general user population. The communities may, for example, include email-based communities (e.g., all users with email addresses associated with a particular company), shipping address based communities (e.g., all users with shipping addresses in Seattle), and/or communities based on other types of user attributes. In one embodiment, a user of the service can select a particular community, such as by selecting the name of a corresponding organization or geographic region, to view a list of items having relatively high popularity levels therein.

Abstract: Techniques are disclosed that reduce the computational complexity of PPM-based data compression through use of certain simplifying assumptions that permit faster search for a close-to-optimal PPM model than conventional techniques. The disclosed techniques permit the cost of the computationally-expensive model building task to be amortized over many compression/decompression cycles by maintaining a PersistentModel class, accessible to both the coder and decoder side of the system. This allows the computationally-expensive model building task to be performed only occasionally, as opposed to each time a message is coded. Furthermore, the model-building task is preferably scheduled to run at non-busy times, such that it minimizes user-perceptible service disruptions.