Abstract: An ink set includes an inkjet ink and a cleaning solution. The inkjet ink contains a first aqueous medium, a carbon black, a dispersing resin, a first zwitterionic surfactant having an amidoalkylbetaine structure, and a first sugar alcohol. The carbon black has an oil absorption number of at least 130 mL/100 g and no greater than 165 mL/100 g. A ratio of a content of the dispersing resin to a content of the carbon black is at least 12.0% by mass and no greater than 19.0% by mass. The cleaning solution contains a second aqueous medium, a second zwitterionic surfactant having an amidoalkylbetaine structure, and a second sugar alcohol.

Abstract: Systems and techniques may be used for identifying a product from a uniform resource locator (URL) of a website. A technique may include receiving the URL based on a user interaction with the website, the user interaction triggering an event on the website. In an example, the technique includes comparing the URL to a database of stored URLs. The technique may include determining a portion of the URL, comparing, for example using a regular expression, the portion of the URL to entries in a specified product name column of the database, and identifying a product in the specified product name column corresponding to the portion of the URL based on comparing the portion of the URL. The technique may include outputting an indication of the product.

Abstract: Provided are an ink set which is used for recording an image on a surface having a surface energy of 40 mN/m or greater and included in an impermeable base material, the ink set including an ink containing water, a colorant, and resin particles, and a pretreatment liquid containing water and resin particles, in which the resin particles contained in the pretreatment liquid include at least one of a mixture of acrylic resin particles and polyester resin particles or composite particles including an acrylic resin and a polyester resin, and the resin particles contained in the ink include at least one of acrylic resin particles or polyurethane resin particles; an image recording method; a method of producing a laminate; an image recorded material; and a laminate.

Abstract: Provided are an ink jet ink composition including water and particles including a polymer having an anionic group, a photo-acid generator, and a sensitizer, wherein a value obtained by subtracting a photo-acid generator amount G being a number of millimoles of the photo-acid generator per 1 g of the particles from an anionic group value A being a number of millimoles of the anionic group per 1 g of the particles is ?0.20 or more and 0.20 or less, and the sensitizer is at least one of compounds represented by Formula (S1) to Formula (S3); a method for producing the ink jet ink composition; and an image-forming method. R11, R12, R21, R31, R32, R33, and R34 each independently represent a substituent; n11, n12, n21, n33, and n34 each independently represent an integer of 0 to 4; and R22 and R23 each independently represent a hydrogen atom or a substituent.

Abstract: An online concierge system generates recipe embeddings for recipes including multiple items and user embeddings for users, with the recipe embeddings and user embeddings in a common latent space. To generate the user embeddings and the recipe embeddings, a model includes separate layers for a user model outputting user embeddings and for a recipe model outputting recipe embeddings. When training the model, a weight matrix generates a predicted dietary preference type for a user embedding and for a recipe embedding and adjusts the user model or the recipe model based on differences between the predicted dietary preference type and a dietary preference type applied to the user embedding and to the recipe embedding. Additionally cross-modal layers generate a predicted user embedding from a recipe embedding and generate a predicted recipe embedding from a user embedding that are used to further refine the user model and the recipe model.

Abstract: A granite stone powder phosphoric acid-based geopolymer and a preparation method thereof are provided. The granite stone powder phosphoric acid-based geopolymer is prepared from following raw materials in parts by weight: 35-70 parts of granite stone powder, 15-50 parts of metakaolin, 8-50 parts of fly ash, 8-30 parts of acid activation solution and 8-30 parts of solvent.

Abstract: A quinacridone solid solution pigment that allows a colored product to have high chroma and a properly yellowish hue and has a controlled particle diameter, and a method for producing the quinacridone solid solution pigment. In the method, a water-containing crude quinacridone solid solution is produced by a co-cyclization reaction of a diarylaminoterepththalic acid and a dialkylarylaminoterephthalic acid in polyphosphoric acid, then the resulting water-containing crude quinacridone solid solution having a mass ratio of unsubstituted quinacridone to a 2,9-dialkylquinacridone of 85:15 to 60:40 is dried, thereby obtaining a powdery, crude quinacridone solid solution having a water content of less than 1%. Then, the resulting powdery, crude quinacridone solid solution is heated in a liquid medium that does not dissolve the crude quinacridone solid solution. Also, a pigment dispersion liquid and an inkjet ink each containing the obtained quinacridone solid solution pigment are provided.

Abstract: An inkjet textile printing ink includes coloring particles and an aqueous medium. The coloring particles each include a core and a shell layer covering the core. The core contains a polyester resin and a dye. The shell layer contains a specific resin with a non-ring-opened oxazoline group and an amide ester group. The polyester resin preferably includes a non-crystalline polyester resin.

Abstract: A request is received to perform an exploration in a predictive and maintenance service application. A sequence of explorations is added in an evidence package. The evidence package includes the list of micro services. The sequence of explorations in the evidence package are analyzed. Based on the analysis, a user behavior corresponding to the performed exploration is identified. The user behavior is provided as input to the machine learning algorithm. Configuration data corresponding to the exploration and the evidence package is stored in a configuration database. The machine learning algorithm is executed in an execution engine. The execution engine is a micro service. Based on execution of the machine learning algorithm, the list of micro services is automatically identified as recommendations. The list of micro services is displayed as recommendations in the predictive and maintenance service application.

Abstract: A curing agent for disposal of municipal solid waste incineration (MSWI) fly ash and a preparation method and use method thereof are provided. In the present disclosure, a loofah nanofiber crystal, a rice husk ash (RHA), sodium hydroxide, and water are adopted as raw materials to prepare the curing agent, and the curing agent can effectively realize the safe disposal and curing of heavy metals in an MSWI fly ash. The highest curing rates of the curing agent for heavy metals Pb2+, Zn2+, Cd2+, Cr3+, and Cu2+ can reach 99.7%, 99.4%, 99.5%, 98.7%, and 99.5%, respectively. The special three-dimensional (3D) cross-linked network structure of the loofah nanofiber crystal and the excellent physical and chemical adsorption properties and ion exchange capacity of the RHA are fully used in the curing agent of the present disclosure.

Abstract: An ink set includes a process color ink set including a yellow ink, a magenta ink, a cyan ink, and a black ink as process color inks, and a light ink having a color similar to a corresponding one of the process color inks in the process color ink set. The yellow ink, the magenta ink, and the cyan ink each have a maximum absorption wavelength, and each have a full width at half maximum of a peak including the maximum absorption wavelength. A maximum absorbance in a visible light wavelength range of the light ink is 70% or less of a maximum absorbance in the visible light wavelength range of the corresponding one of the process color inks.

Abstract: Methods, systems, and apparatuses are described herein for providing purchase recommendations by analyzing social networks using machine learning. A machine learning model may be trained to select one or more of the first plurality of users. Purchase intention data that indicates an intention of a first user to acquire a type of asset may be received. Social networking data that comprises a plurality of associations between a second plurality of users may be received. Purchase history data indicating one or more purchases, of one or more assets associated with the type of asset, made by the second plurality of users may be received. The trained machine learning model may be provided the data. In return, the trained machine learning model may provide an indication of a second user. A notification may be sent to the second user.

Abstract: A method and system for improved management of a purchase order comprises searching online for at least one product or group of products similar to each other to be ordered from a generic supplier and obtaining a confirmation of availability. The step of searching for the product to be ordered from the generic supplier can be extended to search for the product or the group of products or alternative products available at at least one alternative supplier. The product or group of products or the alternative products found at the alternative supplier are inserted into a shopping cart of the alternative supplier and compared with the product or the group of products of the generic supplier. The extension of the search is started automatically by a search and compare software application authorized by the user and provided by the alternative supplier.

Abstract: A system and method are disclosed for a supply chain entity having an inventory of one or more items and a warehouse management system receiving orders for one or more items, determining a container for the one or more items, and generating a packing plan for the items. Aspects of the embodiments may include one or more instruction rendering devices having a sensor and a displaying augmented reality instructions and feedback.

Abstract: An online concierge system uses a domain-adaptive suggestion module to score products that may be presented to a user as suggestions in response to a user's search query. The domain-adaptive suggestion module receives data that is relevant to scoring products as suggestions in response to a search query. The domain-adaptive suggestion module uses one or more domain-neutral representation models to generate a domain-neutral representation of the received data. The domain-neutral representation is a featurized representation of the received data that can be used by machine-learning models in the search domain or the suggestion domain. The domain-adaptive suggestion module then scores products by applying one or more machine-learning models to domain-neutral representations generated based on those products. By using domain-neutral representations, the domain-adaptive suggestion module can be trained based on training examples from a similar prediction task in a different domain.

Abstract: Disclosed are systems and methods for augmenting a customer image with at least one virtual object. One or more customer images depicting a customer environment are received from a customer computing device and 3D feature data for the customer images is determined. A virtual object is determined which corresponds to a desired merchant item. A positioning signal is received which corresponds to a desired location of virtual object in the customer environment, and a corresponding first location in each customer image at which to overlay the virtual object using the positioning signal is determined. An appropriate size and orientation of the virtual object is determined for each customer image based on corresponding 3D feature data, causing an overlay of an appropriately sized and oriented virtual object at the corresponding first location in customer images.

Abstract: The present invention relates to a payment information providing system using a wearable device, and more specifically, the payment information providing system includes: a wearable device for recognizing and photographing a product image by sensing a motion of a user and transferring the photographed product image to a product information providing device, and receiving product information transferred from the product information providing device and displaying the product information on a screen; the product information providing device for receiving the product image from the wearable device and providing information on a product related to the product image to the wearable device; and a contents providing server for receiving the product information from the product information providing device and transferring digital contents to the wearable device if a product to be purchased is selected according to the received product information.

Abstract: A disclosed apparatus and method provide recommendations for products which a customer may need to order and/or items which the customer may have forgotten to order. An exemplary recommendation unit can communicate with a product information database, a product similarity database, a customer purchase history database and a customer order database. The recommendation unit includes a determining unit to store a determined similarity of products in the product similarity database, a training unit to train a model based on information about products previously purchased by each customer and information about at least one determined similarity as stored in the product similarity database, a similarity unit to generate at least one product similar to at least one product to be purchased by a customer based on information about a current order of a customer, and a calculating unit to calculate a probability that a customer forgot to add a similar product.

Abstract: A secure inventory management system includes a product information data store that holds inventory information for products that are associated with one or more channels, as well as a consumer profile data store holding consumer-product purchase event information for each channel. The system also includes a channel manager user interface via which the system will receive a consumer identifier from a channel manager user for a first channel, identify products that are in an inventory of the first channel, and use the consumer profile data to generate recommendations for products in the inventory. At least some of the consumers, and at least some of the products, will be associated with multiple channels. The system maintains security and privacy of information so that only aggregate supplier information is shared across channels, and no personally identifiable consumer information is shared with anyone who is not authorized to access the information.

Abstract: Among other things, a computing system receives data from a user device. The data may be about one or more users and can indicate one or more content preferences associated with a first user. The computing system also receives provider data from a provider system. The provider data may be about one or more products that are offered for procurement from the provider. The computing system stores the provider data about the one or more products and at least a subset of the data about the one or more users in a memory of the system. The computing system generates a user-specific interface that is provided for output to the user device. The user-specific interface is generated using the data about at least one product and based on at least one content preference of the first user.