Abstract:
Techniques for implementing a virtual assistant using directed acyclic graphs (DAGs) are described. When a trigger event occurs (e.g., the receipt of a natural language input, the receipt of sensor data, the detection of a performed gesture, etc.), an endpoint of processing of the trigger event is determined. A DAG is then generated that represents processing of the trigger event. Generate of the DAG starts by building a portion of the DAG for the endpoint processing component, and working backward based on data dependencies. Within the DAG, one or more components that output data, but do not receive data output by another component, may be determined. Thereafter, processing of the trigger event may be commences by initiating processing of the determined one or more components.
Abstract:
Embodiments of methods, systems, and storage medium associated with processing a search request for items are disclosed herein. In one instance, the method may include determining that a search request includes an indication of intent to obtain information about items that are related to other items, obtaining information about a first set of items from a first data repository, including the obtained information as input in the search request, and obtaining, in response to the search request, information about a second set of items related to the items of the first set from a second data repository. The second data repository may include information about items, including relationship of the second set of items with the first set of items. The item relationship may be determined based on collaborative filtering of information associated with the first or second items. Other embodiments may be described and/or claimed.
Abstract:
Devices and techniques are generally described for shared execution caching of contextual data. A first request to retrieve a first value from a first field of a database may be received. First entity identifier data associated with the first request may be determined. A second request to retrieve the first value from the first field may be received, the second request being associated with second entity identifier data. A determination may be made that a first host device is associated with the first entity identifier data and the second entity identifier data. In some examples, a first executable instruction effective to retrieve the first value from the first field of the database when executed by the first host device may be generated. In some examples, the first value may be retrieved from the first field of the database and sent to the first speech processing component.
Abstract:
Embodiments of methods, systems, and storage medium associated with processing a search request for items are disclosed herein. In one instance, the method may include determining that a search request includes an indication of intent to obtain information about items that are related to other items, obtaining information about a first set of items from a first data repository, including the obtained information as input in the search request, and obtaining, in response to the search request, information about a second set of items related to the items of the first set from a second data repository. The second data repository may include information about items, including relationship of the second set of items with the first set of items. The item relationship may be determined based on collaborative filtering of information associated with the first or second items. Other embodiments may be described and/or claimed.
Abstract:
A method and system for analyzing user behavior as users search for items within an electronic marketplace is provided. A query is submitted by a user of the electronic marketplace, the query is processed to identify a series of actions or behaviors performed by the user in relation to the query and fingerprint information for the query is determined based at least in part on analyzing the actions. In one embodiment, the electronic marketplace modifies a user experience for the user based on the fingerprint information. An interactive network region comprising search results related to a query issued by a user is generated, based on fingerprint information. Various categories of items related to a query issued by the user are identified based on fingerprint information and the search results are organized based on categories.
Abstract:
Embodiments of methods, systems, and storage medium associated with processing a search request for items are disclosed herein. In one instance, the method may include determining that a search request includes an indication of intent to obtain information about items that are related to other items, obtaining information about a first set of items from a first data repository, including the obtained information as input in the search request, and obtaining, in response to the search request, information about a second set of items related to the items of the first set from a second data repository. The second data repository may include information about items, including relationship of the second set of items with the first set of items. The item relationship may be determined based on collaborative filtering of information associated with the first or second items. Other embodiments may be described and/or claimed.
Abstract:
Disclosed are various embodiments that involve selecting supplemental content to be included in a search results page. A search query is received. A set of search results is generated by executing a search based at least in part on the search query. A subset of supplemental content providers is selected based at least in part on respective relevancies of the supplemental content providers to the search query. A search results page is generated. The search results page is configured to present supplemental content from the subset of supplemental content providers in association with the set of search results.
Abstract:
Devices and techniques are generally described for a mutation architecture for a contextual data aggregator. In some examples, a context aggregator system may determine a first operation associated with a first directive. In at least some examples, the first operation may be operable to store contextual data. In some examples, the context aggregator system may receive a first command including the first directive. In various examples, the context aggregator system may generate a first extension supporting the first operation based at least in part on the first directive. In some examples, the context aggregator system may receive a second command comprising the first extension and first contextual data. In at least some examples, the context aggregator system may store the first contextual data in a database based at least in part on the first extension.
Abstract:
Techniques for providing category predictions may be provided. For example, a process may attempt to improve a user experience when the user provides a search query. The process can predict the category associated with the search query, even when the category is not a keyword in the search query. Once the category is determined, data may be provided for the particular category, including data that enables an adjustment of a user experience. For example, when the category is apparel, the user experience may include an image-heavy layout and, when the category is books, the user experience may provide more text.
Abstract:
Disclosed are various embodiments that involve selecting supplemental content to be included with search results in a network page. At least one search result is generated by executing a search based at least in part on relevance to a search query. Supplemental content is selected based at least in part upon relevance to the search query without regard to the at least one search result. A subset of the supplemental content is selected in response to determining that the subset is permitted to be presented together in a search results page as defined by at least one compatibility rule. The search results page is generated to include the subset of the supplemental content and the search results.