Abstract: Named Entity Recognition (NER) in a user search query in a real-time search engine may be achieved by training a machine learning algorithm to create a trained model. The trained model may be configured to receive a user search query as input and to recognize and output zero or more named entities in the search query. The training may include an iterative training process in which further training data is added at each iteration, in some embodiments. The training may be based on three training data sets, in some embodiments. A first training data set may be based on user search and engagement activity. A second training data set may be artificially generated based on a catalog of named entity values. A third training data set may be based on optimized and supplemented data pairs sampled from the first training data set.

Abstract: A computer-implemented method for determining image similarity includes determining, by a first neural network, a first feature value associated with a first characteristic of a first product based on an image of the first product. The method also includes determining, by a second neural network, a second feature value associated with a second characteristic of the first product based on the image of the first product. The method further involves calculating a first vector space distance between the first feature value and a third feature value associated with the first characteristic of a second product, and calculating a second vector space distance between the second feature value and a fourth feature value associated with the second characteristic of the second product. Additionally, the method includes determining a similarity value based on the first vector space distance and the second vector space distance.

Abstract: A method for providing document category recommendations may include training a machine learning algorithm; receiving, from a user, a selection of an anchor document; retrieving a user co-viewing sequence; generating, via the trained machine learning algorithm, a sequence embeddings set based on the anchor document and the user co-viewing sequence; comparing the generated embeddings set to respective embeddings for a plurality of candidate sets; determining the candidate set closest to the generated embeddings; and presenting at least one category from the closest candidate set.

Abstract: A method for determining a category responsive to a user query is disclosed. The method includes receiving a training data set comprising a plurality of data pairs, each data pair including: (i) a query; and (ii) an associated one or more categories that are responsive to the query, wherein the one or more categories in the training data set defines a plurality of categories. The method includes training a machine learning algorithm, according to the training data set, to create a trained model, wherein training the machine learning algorithm includes: creating a first co-occurrence data structure defining co-occurrence of respective word representations of the queries with the plurality of categories, and creating a second co-occurrence data structure defining co-occurrence of respective categories in respective data pairs. The method also includes deploying the trained model to return one or more categories in response to a new query input.

Abstract: A method for generating a related product interface portion in an electronic user interface based on user-generated text includes identifying, for each product of a plurality of products, one or more respective characteristics from end user-generated text associated with the product, whereby a plurality of characteristics are identified for the plurality of products. The method further includes determining a plurality of characteristic groups, each group comprising two or more of the plurality of characteristics, wherein the characteristics within a group are similar to each other; receiving, from a user through the electronic user interface, an input related to a product category; and in response to receiving the user input, generating and presenting the related product interface portion that includes a respective product from each of the two or more of the characteristic groups related to the category.

Abstract: Systems and methods for providing suggestions responsive to search queries for a search engine are disclosed. Such suggestions may include one or more related search queries and/or a spell correction. Related search queries may be provided by converting the search query into a document vector space, determining documents that are similar to the query in the vector space, and determining prior search queries to which those similar documents are responsive. Spell corrections may be provided by comparing n-tuple word combinations in the search query to a library of correct n-tuple word combinations and making appropriate corrections.

Abstract: A system and method for machine learning classification of user sentiment is disclosed. The method includes storing including a plurality of category information. The plurality of category information includes a set of domain-specific category information. The method further includes extracting a plurality of aspects from textual data. The method further includes generating a sentiment by a machine learning model. The method further includes receiving the plurality of aspects and the set of domain-specific category information. The method further includes generating a sentiment based on the plurality of aspects and the set of domain-specific category information.

Abstract: A computer-implemented method includes extracting, by one or more processors of one or more computing devices, a product family name from each of a plurality of unstructured product titles associated with a plurality of products. The method further includes determining, by the one or more processors, a degree of similarity between model numbers of the plurality of products. The method further includes determining, by the one or more processors, that at least two of the plurality of products are variants of one another by determining that the at least two of the plurality of products have a same extracted product family name and determining that the degree of similarity between the model numbers of the plurality of products is above a predetermined threshold.

Abstract: An order management system in electronic communication with a database may be configured to manage concurrent update requests for the order data stored in the database. In particular, the order management system may be configured to receive two or more order modification requests, determine that the second order modification request includes one or more aspects that conflict with the modified order and includes one or more aspects that do not conflict with the modified order, send a notification to the second user, wherein the notification includes the one or more aspects that conflict with the modified order, and modify the modified order according to the one or more aspects of the second order modification request that do not conflict with the modified order to create a second modified order.

Abstract: An assembly includes a first bracket and a second bracket. The first bracket includes a first member that includes a plurality of fingers and a first channel between the plurality of fingers. The first channel includes a plurality of teeth. A first flange extends from the first member and includes a first engagement surface. The second bracket includes a second member and a third member spaced from the second member. A second channel is formed between the second member and the third member. A second flange extends from the second member on an opposite side of the second member from the third member. The second flange includes a second engagement surface. In an installed configuration, the first bracket is secured to the second bracket; the first engagement surface faces the second engagement surface; and the plurality of fingers are inserted into the second channel.

Abstract: This disclosure includes systems and methods for providing purchase recommendations to a user that may include items frequently purchased with a product selected by the user. The determination of which items are frequently purchased with which other items may account for both online and in-store transactions and may further account for both pairwise and multi-wise relationships. The recommendations may be provided on an electronic user interface, such as a website, in response to the user's selection of the product through the electronic user interface. The recommendations may be tailored to the user's selected product so that the recommended items are available in the same delivery channel as the user-selected product.

Abstract: A method for returning a results page responsive to a user search query, such as a search query on a website, may include receiving a search query from a user, determining, responsive to the query, a set of relevant products from a plurality of product listings based on a similarity of the user query to the respective product listings, retrieving inventory information respective of each of the relevant products, the inventory information comprising one or more available fulfillment channels respective of each of the relevant products, ranking the relevant products with respect to each other according to the inventory information, and returning, to the user, a search result comprising a list of the relevant products, ordered according to the ranking.

Abstract: Systems and methods for the generation of a sequence of related text-based search queries.

Abstract: Competitors are classified in terms of products the competitors offer. A product set is generated from product information received from a user. Also, a competitor set is generated, where the competitor set comprises at least one competitor determined to be relevant to one or more products in the product set. A target price rule is generated that is operative to change a price offered by the user for the at least one product. A competitor's relevancy can be determined by considering factors such as: (1) unique visitors to the competitor's website, (2) reviews on the competitor's website (3), ratings on the competitor's website, (4) absolute number of products common to the user's website and the competitor's website, (5) percentage number of products common to the user's website and the competitor's website, and (6) number of products offered by the competitor that comprise the product set.

Abstract: Systems and methods for providing controlled access to a system by a user device include receiving, from a user device, a request including a current context. The method includes receiving a request for access to a computing resource, the request including a current context, the current context defining a user space and a resource space. The user device evaluates the current context against a security policy. The user device determines that the user device is permitted to access the computing resource based on the request in response to the evaluating the current context against the security policy. In response to determining that the user device is permitted to access the computing resource, accessing the computing resource as requested.

Abstract: Methods of operating a search engine may include calculating multi-modal document vector models for each of a plurality of electronic documents, training category-specific, search query-specific ranking models with respective machine learning algorithms based on those document vector models, and applying each of those models to further instances of the same search query to rank the documents responsive to that search query.

Abstract: A control apparatus for a broadcast spreader includes a gate adjustment dial mounted on, and generally coaxial with, a handle portion of a handle assembly of the spreader. Rotation of the gate adjustment dial in a first direction causes an increase in a current maximum discharge rate of the spreader and rotation of the gate adjustment dial in a second direction causes a decrease in the current maximum discharge rate of the spreader.

Abstract: A cabinet assembly and cabinet assembly kit include two side panels and a rear panel coupled by hinge assemblies. Each hinge assembly includes a first bracket, a second bracket, and a linkage. The first and second brackets each include a key that alternate to create a key channel when the one of the side panels is positioned at a generally right angle relative to the rear panel. Each hinge assembly permits the cabinet assembly to be configured in a folded configuration in which the side panels are parallel with the rear panel. A locking bracket includes a locking member sized and shaped to be inserted into the key channel. The locking bracket locks the side panel into a substantially right angle relative to the rear panel when the locking member is inserted into the key channel.