Abstract: This disclosure describes an unmanned aerial vehicle (“UAV”) configured to autonomously deliver items of inventory to various destinations. The UAV may receive inventory information and a destination location and autonomously retrieve the inventory from a location within a materials handling facility, compute a route from the materials handling facility to a destination and travel to the destination to deliver the inventory.

Abstract: Users are provided with information regarding entities and tasks that are associated with the user's current context, which includes the content currently being presented to the user. Services associated with a search engine database identify entities and associated tasks. A user's context is utilized to identify one or more entities and one or more associated tasks that may be relevant to the user's current context. Entities and tasks are presented through a dedicated menu, icon, or other like dedicated user interface element to which the user can direct action. Also, entities and tasks are presented through a separate user interface context, such as a separate screen. A user's context can also include information regarding future content that will be presented to the user. Then, entities and tasks are presented via the same user interface mechanisms used to request such content, such as textual input user interface mechanisms.

Abstract: Search results responsive to a query are generated by a search engine. If the query is “location relevant”, the results are provided to a ranker component. If the query is an entity search, then entities matching the query are ranked by distance from the user. If the query is not, and if it is not semantically charged, the entities are ranked either according to distance from the user or by search relevance. If the query is semantically charged, a semantic score is calculated for each entity. One or more threshold semantic scores are determined that divide the search results into multiple parts. The results within each part can then be ranked independently. The results within a first part are ranked according to their distance from the user, while the results in a subsequent part are ranked according to their semantical relationship to the query. The re-ranked parts are concatenated together.

Abstract: Methods, computer systems, and computer-storage media for forming a topic graph with at least one temporal element are provided. URL-query pairs are received and a topic graph is formed comprising the URL-query pairs. At least one topic associated with a URL and an importance of each topic is identified. In embodiments, a list of top topics is identified.

Abstract: A search engine database is utilized to identify “entities”, or things for which there exists associated discrete, objective information. For hosted information that is independently available, the entity detector independently accesses such information and identifies entities. For information that has defined potential entities, such as entertainment or lifestyle information such defined potential entities are provided to the entity detector to verify, with reference to the search engine database, whether they are entities. Once entities have been identified, a related task generator, with reference to the search engine database, identifies tasks that are related to the identified entities. Such tasks include informational tasks, economic tasks, time-sensitive and location-sensitive tasks.

Abstract: Search results responsive to a query are generated by a search engine. If the query is “location relevant”, the results are provided to a ranker component. If the query is an entity search, then entities matching the query are ranked by distance from the user. If the query is not, and if it is not semantically charged, the entities are ranked either according to distance from the user or by search relevance. If the query is semantically charged, a semantic score is calculated for each entity. One or more threshold semantic scores are determined that divide the search results into multiple parts. The results within each part can then be ranked independently. The results within a first part are ranked according to their distance from the user, while the results in a subsequent part are ranked according to their semantical relationship to the query. The re-ranked parts are concatenated together.

Abstract: Providing context to a target minimizes the amount of information that a user must input. Context transfer pages receive context and reformat for the target. Selection of links to such pages provide context which is then reformatted and provided to the target to pre-populate information for the user. A return link can be specified to enable the target to return further context upon user interaction completion. The return link can specify further context transfer pages which can use the returned context to direct the performance of convenience actions, including invoking other applications on the user's computing device and entering information into them. The context transfer pages can themselves collect information from the user to provide appropriate interfaces without requiring resource investment from the target.