Abstract: Methods and systems for analyzing, ordering and presenting item listings are described. In one example embodiment, a search query is processed to identify item listings satisfying the search query. Then, for each item listing that satisfies the search query, a ranking score is derived and assigned to the item listing. The ranking score is based in part on a relevance score, a listing quality score and a business rules score (or, adjustment factor). Finally, the item listings are ordered, based on their corresponding ranking score, and presented in order in a search results page.

Abstract: Implementations relate to an application that can bias automatic speech recognition for meetings using data that may be associated with the meeting and/or meeting participants. A transcription of inputs provided during a meeting can additionally and/or alternatively be processed to determine whether the inputs should be incorporated into a meeting document, which can provide a summary for the meeting. In some instances, entries into a meeting document can be designated as action items, and those action items can optionally have conditions for reminding meeting participants about the action items and/or for determining whether an action item has been fulfilled. In this way, various tasks that may typically be manually performed by meeting participants, such as creating a meeting summary, can be automated in a more accurate manner. This can preserve resources that may otherwise be wasted during video conferences, in-person meetings, and/or other gatherings.

Abstract: Various approaches for managing computational resources in a hyperconverged infrastructure (HCI) cluster include identifying the hosts associated with the HCI cluster for providing one or more computational resources thereto; for each of the hosts, determining a revenue and/or an expense for allocating the computational resource(s) to the HCI cluster; and determining whether to clone, suspend or terminate each host in the HCI cluster based at least in part on the associated revenue and/or expense.

Abstract: Persistent storage contains a representation of a neural network including an input layer, and output layer, and a hidden layer, wherein nodes of the hidden layer incorporate serialized activation functions, wherein the serialized activation functions for each of the nodes include a sigmoid function and a Beta function, wherein the sigmoid function is applied to weighted outputs from nodes of a previous layer of the neural network, wherein the Beta function is applied to a conductance hyper-parameter and respective outputs of the sigmoid function, and wherein outputs of the Beta function are provided to a subsequent layer of the neural network. One or more processors are configured to train the neural network until the outputs of the sigmoid function for the nodes of the hidden layer are substantially binary.

Abstract: Various approaches for managing computational resources in a hyperconverged infrastructure (HCI) cluster include identifying the hosts associated with the HCI cluster for providing one or more computational resources thereto; for each of the hosts, determining a revenue and/or an expense for allocating the computational resource(s) to the HCI cluster; and determining whether to clone, suspend or terminate each host in the HCI cluster based at least in part on the associated revenue and/or expense.

Abstract: Methods and systems enable access to listing performance data associated with a search engine. A request for listing performance data for an item is received from a client computing system. The request is associated with a keyword and/or a category. The request is processed to retrieve the listing performance data corresponding to the item, and a value is determined that indicates a strength of the item in a search results listing having a plurality of search results based on a search using the keyword and/or the category. The listing performance data and value are provided for presentation.

Abstract: A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.

Abstract: Methods and systems for analyzing, ordering and presenting item listings are described. In one example embodiment, a search query is processed to identify item listings satisfying the search query. Then, for each item listing that satisfies the search query, a ranking score is derived and assigned to the item listing. The ranking score is based in part on a relevance score, a listing quality score and a business rules score (or, adjustment factor). Finally, the item listings are ordered, based on their corresponding ranking score, and presented in order in a search results page.

Abstract: A trigger mechanism for semiautomatic and automatic firearms may include a trigger body having a trigger which extends rearwardly toward the back of a pistol grip so that a user may fire the weapon by pressing downwardly on the trigger with the user's thumb.

Abstract: Methods and systems for analyzing, ordering and presenting item listings are described. In one example embodiment, a search query is processed to identify item listings satisfying the search query. Then, for each item listing that satisfies the search query, a ranking score is derived and assigned to the item listing. The ranking score is based in part on a relevance score, a listing quality score and a business rules score (or, adjustment factor). Finally, the item listings are ordered, based on their corresponding ranking score, and presented in order in a search results page.

Abstract: Methods and systems enable access to listing performance data associated with a search engine. A request for listing performance data for an item is received from a client computing system. The request is associated with a keyword and/or a category. The request is processed to retrieve the listing performance data corresponding to the item, and a value is determined that indicates a strength of the item in a search results listing having a plurality of search results based on a search using the keyword and/or the category. The listing performance data and value are provided for presentation.

Abstract: Methods and systems enable access to listing performance data used in conjunction with a search engine to order search results. A request for listing performance data for a specific item listing from a seller is received from a client computing system. The request specifies a keyword and/or a category. The request is processed to retrieve the listing performance data corresponding to the specific item listing, and a position value is determined that indicates a position at which the specific item listing would appear to a potential buyer in a search results listing having a plurality of item listings based on a search using the keyword and/or the category. The listing performance data and position value are transmitted to the client computing system for presentation to the seller.

Abstract: A trigger mechanism for semiautomatic and automatic firearms may include a trigger body having a trigger which extends rearwardly toward the back of a pistol grip so that a user may fire the weapon by pressing downwardly on the trigger with the user's thumb.

Abstract: Methods and systems for using a demand metric for disambiguating a keyword entered from a user of a client machine, the keyword ambiguously identifying a product category, deriving a dominant product category that indicates the probable identity of the product category, and providing selectable images of aspects of the dominant product category for rendering at the client machine. Selection of one of the selectable images of aspects of the dominant product category disambiguates the identity of the ambiguously identified product category. Additional aspects of the disambiguated product category are then presented to the user.

Abstract: A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.

Abstract: A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.

Abstract: A method, a system and a computer program product for ranking reviewable entities based on sentiment expressed about the entities. A plurality of review texts are identified wherein each review text references an entity. A plurality of sentiment scores associated with the plurality of review texts are generated, wherein each sentiment score for a review text indicates a sentiment directed to the entity referenced by the review text. A plurality of ranking scores for the plurality of entities are generated wherein each ranking score is based at least in part on one or more sentiment scores associated with one or more review texts referencing the entity. A plurality of search results associated with the plurality of entities are displayed based at least in part on the ranking scores.

Abstract: Methods and systems enable access to listing performance data used in conjunction with a search engine to order search results. A request for listing performance data for a specific item listing from a seller is received from a client computing system. The request specifies a keyword and/or a category. The request is processed to retrieve the listing performance data corresponding to the specific item listing, and a position value is determined that indicates a position at which the specific item listing would appear to a potential buyer in a search results listing having a plurality of item listings based on a search using the keyword and/or the category. The listing performance data and position value are transmitted to the client computing system for presentation to the seller.

Abstract: Methods and systems for enabling access to listing performance data, used in conjunction with a search engine to order search results, are described. Consistent with some embodiments, a listing performance data engine module processes API commands received from client computing systems. The data engine module processes the API commands to identify and communicate relevant listing performance data that is used by a listing performance algorithm to assign a listing performance score to item listings satisfying a search request. The listing performance data provides sellers who have items listed for sale an insight as to how their item listings are performing in comparison to other item listings.

Abstract: Methods and systems for enabling access to listing performance data, used in conjunction with a search engine to order search results, are described. Consistent with some embodiments, a listing performance data engine module processes API commands received from client computing systems. The data engine module processes the API commands to identify and communicate relevant listing performance data that is used by a listing performance algorithm to assign a listing performance score to item listings satisfying a search request. The listing performance data provides sellers who have items listed for sale an insight as to how their item listings are performing in comparison to other item listings.