Abstract: Computer-readable media, computer systems, and computing devices for initiating a queryless search is provided. In this regard, a search can be initiated without a user inputting a query. In one embodiment, the method includes recognizing a search indication provided by a user to indicate a desire to view one or more search results related to content being presented. Such a search indication can be performed without accessing a web page associated with a search engine. In accordance with the search indication, contextual information related to the content being presented can be automatically captured. Thereafter, the captured contextual information is provided to initiate a search for information corresponding with the contextual information. Search results corresponding with the contextual information are received and presented.

Abstract: Use of software applications is detected by categorizing components of applications into a usage manifest and implementing a usage detection background service on a client PC that monitors the components according to the usage manifest. The application components are categorized based on the mode of user interaction as well as the component's correlation to active use of an application. The background service tracks events and activities associated with the application components to generate usage metrics that include the frequency of unique launches of an application and the duration of each unique use. A usage manager for the background service may utilize the usage metrics for a component independently, or combine metrics for multiple components in cases where applications work in an interactive manner (such as a plug-in to a web browser) in order to compute application usage by comparing the metrics against predefined thresholds.

Abstract: Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.

Abstract: Systems, methods, and computer-readable storage media for providing query-completion suggestions configured to be searched against vertical information domains in response to receiving a general web search query are provided. At least a portion of a general web search query is received. As the portion of the general web search query is received, query-completion suggestions are determined as is a likely primary intent associated with at least a portion of the determined query-completion suggestions. If the likely primary intent associated with a particular query-completion suggestion is for information associated with a particular vertical information domain other than the general web domain, the query-completion suggestion is provided such that selection thereof causes searching of the query-completion suggestion against the particular information domain for search results.

Abstract: Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate generating a machine-learned model for ranking search results using click-based data are provided. Data is referenced from user queries, which may include search results generated by general search engines and vertical search engines. A training set is generated from the search results and click-based judgments are associated with the search results in the training set. Based on click-based judgments, identifiable features are determined from the search results in a training set. Based on determining identifiable features in a training set, a rule set is generated for ranking subsequent search results.

Abstract: A method, system, and computer-readable medium is described for facilitating interactions between software programs by providing a reliable data queuing service that enables the programs to store and retrieve elements of data queues. In some situations, the data queuing service is provided to users who purchase usage of the data queuing service for application programs executed by or otherwise affiliated with the users. In addition, accessibility of the data queuing service to remote executing programs may be enhanced via a defined API of the data queuing service, such as a Web services-based API. Availability of the data queuing service may also be enhanced in some situations by using multiple alternative distributed systems for a data queue such that each of the alternative systems stores a subset of the elements of the data queue.

Abstract: Techniques are described for providing a storage service that stores information about large numbers of transactions in a persistent manner, such as with a high degree of reliability, availability and scalability based at least in part on use of a distributed computing and storage system. In some situations, the transaction information storage service stores various information about transactions that each include at least one monetary payment (e.g., a micro-payment) between financial accounts of two or more of numerous users having accounts with one or more entities. The transaction information storage service may be provided by or otherwise affiliated with a merchant, and customers of the merchant may purchase usage of the storage service for programs executed by or otherwise affiliated with the customers, with the storage service available to remote executing programs via a defined API of the storage service, such as a Web services-based API.

Abstract: Computer-readable media, computer systems, and computing devices facilitate providing entity-specific content to a user in response to a search request. A search request is received from a user and determined to be related to an entity. Domains associated with the entity are also identified. The search service identifies a set of potential answers and uses the potential answers to generate a set of reformulation queries, which are used to query answer services. Answers returned by the answer services are ranked and bound to an entity card, which is subjected to a quorum checking process that facilitates optimization of the use of allocated screen real estate associated with the entity card. A representation of the entity card is presented on a search-results page.

Abstract: Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.

Abstract: Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate generating a machine-learned model for ranking search results using click-based data are provided. Data is referenced from user queries, which may include search results generated by general search engines and vertical search engines. A training set is generated from the search results and click-based judgments are associated with the search results in the training set. Based on click-based judgments, identifiable features are determined from the search results in a training set. Based on determining identifiable features in a training set, a rule set is generated for ranking subsequent search results.

Abstract: Computer-readable media, computer systems, and computing devices facilitate providing a comparison experience to a user in response to a search query. Upon receiving a search query from the user, entities are extracted from the query. The entities are associated with entity classes. The entities, entity classes, previous user behavior, and other information are used to infer whether the user likely is engaging in a comparison task. If the inference indicates that the user likely is engaging in a comparison task, a comparison experience is generated and access to the comparison experience is provided to the user.

Abstract: Use of software applications is detected by categorizing components of applications into a usage manifest and implementing a usage detection background service on a client PC that monitors the components according to the usage manifest. The application components are categorized based on the mode of user interaction as well as the component's correlation to active use of an application. The background service tracks events and activities associated with the application components to generate usage metrics that include the frequency of unique launches of an application and the duration of each unique use. A usage manager for the background service may utilize the usage metrics for a component independently, or combine metrics for multiple components in cases where applications work in an interactive manner (such as a plug-in to a web browser) in order to compute application usage by comparing the metrics against predefined thresholds.