Abstract: Techniques for facilitating shopping for items shown or used in a video are described. For example, a user interface that includes a video and one or more images is presented. Each of the one or more images may be related to a content of the video. Each of the one or more images may include a plurality of selectable sub-areas. A selection of a sub-area of the plurality of sub-areas of an image of the one or more images is received. The selection of the sub-area may indicate a request to perform an action that pertains to the content of the video. The action is identified based on the selection of the sub-area. The action is performed in response to the selection of the sub-area.

Abstract: A user at a geographical location may submit a search query and receive results responsive to the search query. The search results provided to the user may be based on the user's geographical location. The search results may also be based on one or more attributes of alter ego. The alter ego may be an individual user or another type of entity, such as a group or a business. A user at a geographical location submitting an alter-ego search query may see the results that would be presented to the alter ego if the alter ego were at the geographical location. Each user's interests may be selected through an interest-selection interface, automatically generated as the user interacts with search results, dynamically generated as a user follows or likes search results, or otherwise determined.

Abstract: A user at a geographical location may submit a search query and receive results responsive to the search query. The search results provided to the user may be based on the user's geographical location. The search results may also be based on one or more attributes of the user or an alter ego. The alter ego may be an individual user or another type of entity, such as a group or a business. A user at a geographical location submitting an alter-ego search query may see the results that would be presented to the alter ego if the alter ego were at the geographical location. Each user's interests may be selected through an interest-selection interface, automatically generated as the user interacts with search results, dynamically generated as a user follows or likes search results, or otherwise determined.

Abstract: A system and method may be configured to determine at least one attribute of an item, determine a plurality of images having at least one related attribute, and determine a score for each of the images based on the at least one determined attribute and the at least one related attribute. The system and method may further select one of the images for use as a user interface background based on the scores, and cause a user device to display the selected image as the user interface background.

Abstract: A user at a geographical location may submit a search query and receive results responsive to the search query. The search results provided to the user may be based on the user's geographical location. The search results may also be based on one or more attributes of the user or an alter ego. The alter ego may be an individual user or another type of entity, such as a group or a business. A user at a geographical location submitting an alter-ego search query may see the results that would be presented to the alter ego if the alter ego were at the geographical location. Each user's interests may be selected through an interest-selection interface, automatically generated as the user interacts with search results, dynamically generated as a user follows or likes search results, or otherwise determined.

Abstract: Techniques for facilitating shopping for items shown or used in a video are described. For example, a user interface that includes a video and one or more images is presented. Each of the one or more images may be related to a content of the video. Each of the one or more images may include a plurality of selectable sub-areas. A selection of a sub-area of the plurality of sub-areas of an image of the one or more images is received. The selection of the sub-area may indicate a request to perform an action that pertains to the content of the video. The action is identified based on the selection of the sub-area. The action is performed in response to the selection of the sub-area.

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.