Abstract: A computer-implemented service integrates with merchant sites to enable registered users of the service to perform purchase transactions on the merchant sites. In one embodiment, a merchant can incorporate a reference to a display object served by the service into coding of a page of the merchant's site. When the page is loaded by a user's browser, the reference causes the browser to request the display object from the service for display on the page. If the user is recognized by the service, the service may return a personalized display object that includes functionality for the user to perform a purchase transaction using the service. Also disclosed are embodiments that enable users to initiate transfers of personal account information to the merchant sites.

Abstract: A computer-implemented service recommends digital works (and/or creators of works) to a user based on works currently or previously played or downloaded by the user on a player device or based on playlists stored on the player device. The works may be, for example, music files, video files, electronic books, or other digital content for playing by users. A user may thus obtain personalized recommendations that are based on works obtained from sources (web sites, physical CDs, etc.) that are independent of the recommendations system. In one embodiment, the service identifies pairs of works (and/or work creators) that are similar to each other by virtue of the relatively high frequency with which they co-occur on playlists or within play histories of users. The resulting mappings are used to provide recommendations to users.

Abstract: Various processes are disclosed for discovering item relationships between particular items, such as products represented in an electronic catalog, based on monitored user behaviors (e.g., item viewing activities, item purchases, shopping cart activities, etc.). The discovered item relationships may, for example, be used to generate personalized item recommendations for users, and/or to supplement item detail pages of an electronic catalog with lists of related items. Also disclosed are processes for generating personalized item recommendations based on users' search activities and browse node visits.

Abstract: Various processes are disclosed for discovering item relationships between particular items, such as products represented in an electronic catalog, based on monitored user behaviors (e.g., item viewing activities, item purchases, shopping cart activities, etc.). The discovered item relationships may, for example, be used to generate personalized item recommendations for users, and/or to supplement item detail pages of an electronic catalog with lists of related items. Also disclosed are processes for generating personalized item recommendations based on users' search activities and browse node visits.

Abstract: A computer-implemented service integrates with merchant sites to enable registered users of the service to perform purchase transactions on the merchant sites. In one embodiment, a merchant can incorporate a reference to a display object served by the service into coding of a page of the merchant's site. When the page is loaded by a user's browser, the reference causes the browser to request the display object from the service for display on the page. If the user is recognized by the service, the service may return a personalized display object that includes functionality for the user to perform a purchase transaction using the service. Also disclosed are embodiments that enable users to initiate transfers of personal account information to the merchant sites.

Abstract: An order is placed by a purchaser at a client system and received by a server system. The server system receives purchaser information including identification of the purchaser, payment information, and shipment information from the client system. The server system then assigns a client identifier to the client system and associates the assigned client identifier with the received purchaser information. The server system sends to the client system the assigned client identifier. The client system receives and stores the assigned client identifier. In response to an order indication, the client system sends to the server system a request to purchase the identified item. The server system receives the request and combines at least one previous purchase associated with the client identifier of the client system to generate a single order for billing and shipment.

Abstract: An item-providing system supplies items to a user device for consumption at the user device via communication infrastructure. The device may correspond to a book reader device or other type of device. In one illustrative case, the item-providing system may provide items to the user device in incremental form or in full form. The item-providing system and user device implement a protocol for determining whether the content should be delivered in incremental form or full form.

Abstract: Systems and methods are disclosed for analyzing actions performed by users referred to a target site from particular referring sites or groups thereof, and for using the results of such analyses to select particular items to recommend to users. The referring sites may, for example, be affiliate sites that refer users to a merchant site in accordance with an affiliate marketing program.

Abstract: A computer-implemented service recommends works to a user based on works currently or previously played or downloaded by the user on a player device or based on playlists stored on the player device. The works may be, for example, music files, video files, electronic books, or other digital content for playing by users. A user may thus obtain personalized recommendations that are based on works obtained from sources (web sites, physical CDs, etc.) that are independent of the recommendations system. In one embodiment, the service identifies pairs of works that are related to each other by virtue of the relatively high frequency with which they co-occur on playlists or within play histories of users. The resulting mappings of works to related works are in-turn used to select works to recommend to users.

Abstract: Various computer-implemented services are disclosed for increasing the utility of electronic wish lists, and for assisting users in making gift purchases. One such service automatically notifies a user when an item being accessed in an electronic catalog is on, or is similar to an item on, an electronic wish list of an “affiliated” user. The affiliations may be created explicitly by the users (e.g., by completing an online form), and/or implicitly based on actions performed by the users (e.g., when one user purchases a gift for another user). Another service automatically reminds a first user who is affiliated with a second user when a known or inferred gift-giving event of the second user is approaching. The reminder may include a link to a wish list of the second user, and/or may include or provide a link for viewing personalized gift recommendations for the second user.

Abstract: Systems and methods provide a facility for automated gifting. The facility receives from a gifter an identification of a gift recipient, an indication of an occasion, and selection criteria. The facility automatically selects a proposed gift for the indicated occasion based on at least the received selection criteria and, in the absence of further direction from the gifter, sends the gift to the recipient.

Abstract: One embodiment of the present invention distributes data via a network to remotely located individuals. Evaluation feedback by one or more of the individuals is transmitted to others so that the feedback may be used by others to quickly locate the more useful data. The evaluation feedback may be in the form of ratings of product reviews. The feedback helps customers by allowing the more useful reviews can be quickly located.

Abstract: A method and system for bidding on multiple auctions. The multiple auction bidding system allows a user to define various models for bidding at multiple auctions. The bidding system then automatically places bids on behalf of the user. The bidding rules may specify to win at most one of multiple auctions at the lowest price or to bid at an auction only if successful at bidding at another auction.

Abstract: A system and methods for dynamically generating electronic documents, such as web pages or XML documents, provides increased program parallelism and reduced document generation times. In one embodiment, two separate threads are used: a first thread that processes a document template, and a second thread that handles requests for data. Also disclosed are methods for selectively combining particular data requests for transmission on a network.

Abstract: A facility for assessing product replenishment is described. The facility determines that a purchasing entity possesses an item, determines an expiration time for the item, and schedules, for a time preceding the expiration, a unilateral communication to the purchasing entity indicating that the item should be replenished. The facility can also manage automatic item replenishment, including determining a target date for replenishment of the item, transmitting to the purchaser in advance of the target date (when the purchaser is not engaged in an electronic shopping activity) a replenishment proposal, and ordering a replacement for the item. In some cases, the facility places an order within a predetermined tolerance of the target date without intervention by the consumer. The facility can also establish and test a condition for suggesting replenishment, can raise an event when the condition is satisfied, and can unilaterally make the replenishment suggestion when the event is raised.

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: An interactive system personalizes pages of an electronic catalog with information reflective of related orders placed by the user. In one embodiment, when a user requests a category page (such as a browse node page, author page, or artist page) of an electronic catalog, the system determines whether the user previously ordered any items falling within the associated category. If any such orders are identified, information regarding the prior order(s) is incorporated into the requested category page. This information may include, for example, an indication of the particular item(s) ordered, and the order date and/or status of each such order. The system may also personalize item detail pages with information regarding any orders placed for the corresponding items and/or similar items.

Abstract: A computer-implemented service acts as an intermediary between merchant sites and users thereof, and enables the users to purchase items on the merchant sites without having to create accounts with such sites. A user may invoke the service from a web page of a merchant site, and complete a purchase transaction, without having to browse away from the merchant site. The service may either forward the user's payment information to the merchant's system to enable the merchant to charge the customer, or may charge the user on behalf of the merchant. In some implementations, the service enables users to make single-action purchases from the merchant sites.

Abstract: A facility for rewarding the provision of useful item reviews is described. The facility receives a plurality of item reviews, each from a source. The facility publishes each of the plurality of received item reviews, and assesses the usefulness of the published item reviews. Based upon this assessment of usefulness, the facility selects one or more of the published item reviews, and provides rewards to the sources of these selected item reviews.

Abstract: A computer-implemented recommendation service uses item-to-item relationship mappings to select items to recommend to the user. The item-to-item relationship mappings may reflect user-behavior-based (e.g., purchase-based) item relationships, content-based item relationships, or a combination thereof. In one embodiment, personalized recommendations are generated for a user by a process that comprises retrieving from the mapping, for each of a plurality of items of interest to the user, a respective related items list; weighting the related items lists based on information regarding the user's affinity for the corresponding items of interest; combining the weighted related items lists to form a pool of scored items, and selecting items from the pool to recommend to the user.