Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform creating a standardized flavor list from flavors associated with items in a catalog; determining a respective score indicating a degree of affinity for a user for each flavor of each of one or more item types associated with the items; creating a respective ordered list of flavors for each of the one or more item types for the user in which the respective ordered list of flavors are ranked by the respective score for the each flavor in the ordered list; and re-ranking a non-personalized list of recommended items associated with an anchor item of the items using the respective ordered list of flavors for the user. Other embodiments are disclosed.

Abstract: A method including a user who has brand affinities about a product brand or a product brand category. The method can include analyzing whether the user has brand affinities for the product brand or the brand category with two binary classification models that can include (a) a model one to determine an affinity to a particular product brand and (b) a model two to determine an affinity to a particular product brand category. The method also can include analyzing whether the user has affinities for a similar product brand or a similar product brand category by a model three neural network. The method can include displaying recommendations and the promotions for a product brand, a product brand category, a similar product brand, or a similar product brand category to the user. Other embodiments are disclosed.

Abstract: This application relates to apparatus and methods for automatically determining and providing item category advertisement recommendations. In some examples, a computing device obtains transaction data identifying historical transactions. The computing device generates a first model, and trains the first model with non-seasonal data. The computing device generates a second model, and trains the second model with seasonal data. The computing device then generates a seasonal re-rank model based on the first model and the second model. The seasonal re-rank model, when executed, identifies probabilities of purchase of categories of items. In some examples, the computing device selects item advertisements to provide for display to a customer based on the probabilities of purchase of categories of items determined by the seasonal re-rank model. The selected item advertisements may be displayed to the customer, for example, on a website.

Abstract: A memory device including a plurality of nonvolatile memory chips each including a status output pin and a buffer chip configured to receive a plurality of internal state signals, which indicate states of the plurality of nonvolatile memory chips, from the status output pins and output an external state signal having a set period on the basis of the internal state signals indicating a particular state, wherein in a first section of the external state signal having the set period, a duty cycle of the external state signal determines depending on an identification (ID) of the nonvolatile memory chip which outputs the internal state signal indicating the particular state among the plurality of nonvolatile memory chips.

Abstract: Systems and methods for generating a set of personalized complementary recommendations is disclosed. A user identifier and an anchor item identifier are received. A set of personalized-weighted items and a set of complimentary-weighted items are each generated based on the user identifier and the anchor item identifier. The personalized-weighted items are generated by a trained supervised model. The complementary-weighted items are generated by a trained unsupervised model. A set of personalized complementary recommendations including a subset of the personalized-weighted items and a subset of the complementary-weighted items is generated.

Abstract: A hood latch device may include a base having therein an insertion recess to receive a striker, a claw lever rotatably mounted to the base, the claw lever rotatable by the striker inserted into the insertion recess to surround and restrict the striker, a pawl lever rotatably mounted to a portion of the base, the pawl lever to restrict a rotation of the claw lever so that a rotational position of the claw lever corresponds to one of a first-stage locking state and a second-stage locking state depending on a contact position with the claw lever, a release lever rotatably mounted to the pawl lever to be rotated with the pawl lever, and an operating mechanism mounted to the base, the operating mechanism including a lever-rotating device to be rotated by receiving torque from a driving motor and to selectively rotate one of the claw lever and the pawl lever.

Abstract: A system includes a computing device configured to obtain item attribute data that corresponds to a characteristic of an item ordered by a customer on an e-commerce platform and a common characteristic of a plurality of substitution items. The computing device is also configured to obtain customer attribute data identifying preferences of the customer and to determine a preference score for each substitution item in the plurality of substitution items based on the item attribute data and the customer attribute data. The preference score indicates a likelihood that the customer will accept one of the plurality of substitution items as a replacement for the item ordered by the customer. The computing device is also configured to rank each substitution item in the plurality of substitution items based on the preference scores.

Abstract: This application relates to apparatus and methods for automatically determining and providing item category advertisement recommendations. In some examples, a computing device obtains transaction data identifying historical transactions. The computing device generates a first model, and trains the first model with non-seasonal data. The computing device generates a second model, and trains the second model with seasonal data. The computing device then generates a seasonal re-rank model based on the first model and the second model. The seasonal re-rank model, when executed, identifies probabilities of purchase of categories of items. In some examples, the computing device selects item advertisements to provide for display to a customer based on the probabilities of purchase of categories of items determined by the seasonal re-rank model. The selected item advertisements may be displayed to the customer, for example, on a website.

Abstract: This application relates to apparatus and methods for automatically determining and providing item advertisements to customers. In some examples, a computing device obtains transaction data identifying in-store and/or online transactions. The computing device determines a distribution of purchased items over a plurality of item categories based on the transaction data. The computing device generates factorization matrices based on applying a machine learning process to the distribution, and generates relevancy scores for the plurality of item categories based on the factorization. The computing device may then select or generate item advertisements for items associated with the item categories based on the generated relevancy scores. The selected item advertisements may be displayed to a customer, for example, on a website.

Abstract: A hold-open lock apparatus of a sliding door configured to limit or release rotation of a swing arm without interference with a rail is provided. The hold-open lock apparatus includes a catch unit including a catch pin that serves as a center of rotation of the swing arm, a catch fitted over the catch pin, and a pawl release lever rotatably fitted over the catch pin. The hold-open lock apparatus further includes a pawl unit including a pawl pin located on a side of the swing arm, and a pawl rotatably fitted over the pawl pin and configured to be locked to or unlocked from the catch. The hold-open lock apparatus also includes a cable unit connected to the pawl release lever and configured to rotate the pawl release lever. The pawl release lever is configured to rotate in one direction to rotate the pawl.

Abstract: A locking device for a door includes a first latch unit including a catching unit positioned at a lateral side of the first door and rotatably coupled to a first plate, a pawl unit rotatably coupled to the first plate to rotate the catching unit or restrict the rotation of the catching unit, and a first release lever configured to assist in rotating the pawl unit about a rotating shaft for the pawl unit. A second latch unit is positioned at a lateral side of the second door so as to face the first latch unit and includes a second release lever rotatably coupled to a second plate, and a striker unit configured to be caught by or released from the rotating catching unit.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a plurality of snippets of a plurality of user reviews for a product, each respective snippet of the plurality of snippets relating to at least one respective user attribute category of a plurality of user attribute categories; creating a score for each respective snippet of the plurality of snippets based on: a probability of association between at least one user attribute category and one or more seed words, the one or more seed words describing one or more qualities of the product; and facilitating displaying, on a user device of a user, a first snippet of the plurality of snippets, the first snippet of the first plurality of snippets having a higher score of the scores for the plurality of snippets than another score of the scores for the plurality of snippets. Other embodiments are disclosed herein.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving a plurality of user reviews of a product, performing topic modeling of the plurality of user reviews of the product to find a plurality of snippets within the plurality of user reviews each relating to at least one user attribute category of a plurality of user attribute categories, and facilitating a display on a device of a first snippet of the plurality of snippets proximate the product.

Abstract: A hood latch device may include a base having therein an insertion recess to receive a striker, a claw lever rotatably mounted to the base, the claw lever rotatable by the striker inserted into the insertion recess to surround and restrict the striker, a pawl lever rotatably mounted to a portion of the base, the pawl lever to restrict a rotation of the claw lever so that a rotational position of the claw lever corresponds to one of a first-stage locking state and a second-stage locking state depending on a contact position with the claw lever, a release lever rotatably mounted to the pawl lever to be rotated with the pawl lever, and an operating mechanism mounted to the base, the operating mechanism including a lever-rotating device to be rotated by receiving torque from a driving motor and to selectively rotate one of the claw lever and the pawl lever.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: receiving recipes in an electronic manner; parsing the recipes to identify ingredients; generating mapping information that correlates the recipes with corresponding ingredients, and that correlates the ingredients with corresponding grocery products; executing a recommendation engine that is configured to recommend a recipe selected to a user based, at least in part, on the user's shopping behavior; utilizing the mapping information to select a subset of the grocery products that correspond to the ingredients for the recipe; transmitting data for presenting a recommendation display to the user that presents the subset of the grocery products and enables the grocery products to be added to an online shopping cart. Other embodiments are disclosed herein.

Abstract: A method can include retrieving product information from a website database to identify a first product as a value-sensitive product identified with at least a value price tag. The method can include determining second users who are not value conscious about the first product. The method can also include preparing first and second recommendations and promotions for the first product, wherein the first recommendation comprises one or more value-sensitive products. The method additionally can include transmitting machine readable instructions to display the first recommendations and promotions for the first product for viewing by the first user. The method also can include transmitting machine readable instructions to display the second recommendations and promotions for the first product for viewing by the second user. Other embodiments are disclosed herein.

Abstract: A method including a user who has brand affinities about a product brand or a product brand category. The method can include analyzing whether the user has brand affinities for the product brand or the brand category with two binary classification models that can include (a) a model one to determine an affinity to a particular product brand and (b) a model two to determine an affinity to a particular product brand category. The method also can include analyzing whether the user has affinities for a similar product brand or a similar product brand category by a model three neural network. The method can include displaying recommendations and the promotions for a product brand, a product brand category, a similar product brand, or a similar product brand category to the user. Other embodiments are disclosed.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving a plurality of user reviews of a product, performing topic modeling of the plurality of user reviews of the product to find a plurality of snippets within the plurality of user reviews each relating to at least one user attribute category of a plurality of user attribute categories, and facilitating a display on a device of a first snippet of the plurality of snippets proximate the product.

Abstract: A door latch device for an exterior handle of a vehicle is provided. A door latch device for an exterior handle of a vehicle includes a housing within a door, a catch lever within the housing via a first hinge configured to catch or release a striker, a pawl lever mounted at a lower side of the catch level to restrict the catch lever and an exterior lever at a lower side of the pawl lever via a protrusion to transfer a torque force to the pawl lever. An override lever is disposed the third hinge and coupled with the pawl lever and configured to restrict the pawl lever via a hinge. An override link is hinged to the override level of a first protrusion and coupled with the exterior level by a second protrusion and a control portion is configured to restrict operation of the override lever.

Abstract: The present invention relates to an additive composition comprising a lubricant and, specifically, relates to an additive composition for preparing polyolefin having superior transparency by using a metal lubricant of a specific structure in a sorbitol-based nucleating agent which is an additive used for preparing polyolefin, thereby improving the lubricity of a nucleating agent, lowering a melt temperature, increasing the crystallization rate of polyolefin, and minimizing a shrinkage phenomenon.