Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: In various example embodiments, a system and method for providing price guidance for sellers and buyers are presented. The system receives a present item listing and accesses a set of historical item listings. The system generates a price guidance model for the present item listing and generates a set of prices for the present item based on the price guidance model. The system then causes presentation of the set of process on a client device.

Abstract: A search server is configured to return secondary content associated with primary content determined to be relevant to a search query. One or more databases store: (1) information identifying primary content items returnable as search results, (2) information identifying secondary content items, and (3) data identifying associations among the primary content items and the secondary content items. When the search server receives a search query, the one or more databases are queried to identify primary content items relevant to the search query. Additionally, the one or more databases are queried to identify secondary content items associated with the identified primary content items. The secondary content items can be selected based on a number of the identified primary content items associated with each secondary content item in the one or more databases. The identified primary content items and selected secondary content items are returned as a response to the search query.

Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products providing cloud-based content management. In some examples, selected items of content may be obtained from different categories of data sources using one or more configurable curation processes. For instance, curation processes may include user-selectable curation, query-based curation using one or more user-configurable database queries and intelligence-driven curation. The selected content items may be aggregated to define a content collection, which may be provided according to various user-selectable layouts including one or more user-configurable layouts. The user-selectable layouts are capable of being rendered on a user device to graphically display, in an online forum, the selected content items according to a designated structure in which content of the selected content items is exposed as user-selectable graphical blocks for manipulation using one or more input devices.

Abstract: In various example embodiments, a system and method for providing price guidance for sellers and buyers are presented. The system receives a present item listing and accesses a set of historical item listings. The system generates a price guidance model for the present item listing and generates a set of prices for the present item based on the price guidance model. The system then causes presentation of the set of process on a client device.

Abstract: In various example embodiments, a system and method for providing price guidance for sellers and buyers are presented. The system receives a present item listing and accesses a set of historical item listings. The system generates a price guidance model for the present item listing and generates a set of prices for the present item based on the price guidance model. The system then causes presentation of the set of prices on a client device.

Abstract: A search server is configured to return secondary content associated with primary content determined to be relevant to a search query. One or more databases store: (1) information identifying primary content items returnable as search results, (2) information identifying secondary content items, and (3) data identifying associations among the primary content items and the secondary content items. When the search server receives a search query, the one or more databases are queried to identify primary content items relevant to the search query. Additionally, the one or more databases are queried to identify secondary content items associated with the identified primary content items. The secondary content items can be selected based on a number of the identified primary content items associated with each secondary content item in the one or more databases. The identified primary content items and selected secondary content items are returned as a response to the search query.

Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: In various example embodiments, a system and method for providing price guidance for sellers and buyers are presented. The system receives a present item listing and accesses a set of historical item listings. The system generates a price guidance model for the present item listing and generates a set of prices for the present item based on the price guidance model. The system then causes presentation of the set of prices on a client device.

Abstract: In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Abstract: In various example embodiments, a system and method for profit taking in a networked marketplace are presented. A method includes determining a price estimate that an item will sell for at a networked marketplace, directing purchase of the item at a remote auction by displaying a maximum purchase price to a user at the remote auction, listing the item in a listing at the networked marketplace, and sending a message to a seller of the remote auction, the message directing the seller to ship the item to the purchaser.

Abstract: In various example embodiments, a system and method for presentation of bidding activity are presented. A series of bids is received from users participating in an auction of an item that is available for sale from an online marketplace. One or more values from the series of bids are determined. Times of receipt for the series of bids are also determined. A graph that depicts the series of bids as a set of points is generated. Display of the graph on a web page corresponding to the auction of the item is caused.

Abstract: A database of available promotions may be accessed. The promotions may be associated with one or more sellers, one or more product lines, one or more themes, and so on. A user may submit a search query to a search engine. The search engine may process the search query and generate a set of results. Items in the result set may be associated with one or more of the promotions. Based on the associations with promotions in the set of results to the user's query, one or more promotions may be selected for presentation to the user. The number of selected promotions may be a constant, set by the user, or determined on a query-by-query basis. The selected promotions may be presented to the user along with the search results for the query.

Abstract: Architecture that automatically detects historical search contexts as well as behaviors related to a search query. Machine learning and hand-authored rules are employed to automatically identify search contexts. Historical information likely to be useful in the current context is surfaced. When a user enters a search query or executes another search behavior, past behaviors are exposed which are contextually related to the current behavior. The architecture also provides automatic discovery of historical contexts, features related to the contexts, and training or authoring of a system for classifying behavior into contexts, using some combination of the machine learning and/or hand-authored rules. A runtime system classifies the current user behavior into a context and surfaces contextual information to the user.

Abstract: Example methods and systems are directed to generating recommendations based on one or more user inventories, which may be stored in a database. The inventory may include items (e.g., physical goods, electronic goods, and financial assets) owned by a user. A machine may use the database to provide suggestions to the user to buy or sell items. The machine may also use the database to provide suggestions to the user to join a community. The database may be used in conjunction with an electronic commerce site. The machine may be aware of which items in the site are being viewed by the user. The recommendation made by the machine may take into account the item being viewed. The user may be able to view the current market value for each item individually, the total value for a selection of items, or the total value for all items.