International Business Machines Corporation

Ayushi Dalmia

Vikas Raykar

Raghavendra Singh

Sachindra Joshi

Priyanka Agrawal

Srikanth Govindaraj Tamilselvam

Pankaj Satyanarayan Dayama

Amith Singhee

Ashok Pon Kumar Sree Prakash

Karthik Sankaranarayanan

Jaydeep Sen

Amrita Saha

Sumit Bhatia

Abhishek Bansal

Sumanta Mukherjee

Jaikrishnan Hari

Digbalay Bose

A natural language processing approach for generating domain specific reasoning-based meaning representations. The approach may include receiving a user query via structured or unstructured data. The approach may also include generating a structured query from the user query using domain specific ontology and universal facts. Further, the approach many include the structured query may be analyzed to determine if the structured query has been assigned consistent concepts, properties and actions. Additionally, the approach may involve correcting the structured query if it is determined the structured query is inconsistent with the domain ontology and the universal facts.

Reasoning based natural language interpretation

Aspects of the present invention disclose a method, computer program product, and system for recommending an apparel product is provided. The method for recommending an apparel product may include one or more processors identifying a user selection of an apparel product, wherein the apparel product includes information associated with retail websites. The method further includes one or more processors categorizing the apparel product into one or more groupings based upon user preferences, wherein the grouping is based on available versions of the apparel product. The method further includes one or more processors determining current apparel preference information corresponding to the user based on user preferences, fitness application data, health monitoring application data, and user-provided measurements. The method further includes one or more processors determining a recommended garment of the identified user-selected apparel product based on mapping the determined apparel preference information to product specifications of the identified user-selected apparel product.

Determining apparel-based recommendations for a user

Methods, systems, and computer program products in connection with a system for bidding on multi-modal sub-spaces for e-commerce searches is provided herein. A computer-implemented method includes representing, in an embedding space affiliated with at least one electronic commerce website: (i) images related to one or more bids and (ii) items of text related to the one or more bids, the images and the items of text both coming from one or more bidding entities. Such a method also includes mapping a query to the embedding space based on a comparison of features of the query to (i) the images and (ii) the items of text. Further, such a method additionally includes selecting at least one of the one or more bidding entities based on the mapping, and outputting, to at least one user in response to the query, search results associated with the at least one selected bidding entity.

Method, computer program product and system for bidding on multi-modal sub-spaces for e-commerce searches

Methods, systems, and computer program products for generating metadata for image-based querying are provided herein. A computer-implemented method includes processing a query image against a database by applying a deep learning visual model to the query image and images contained within the database; retrieving a set of multiple images from the database based on the processing; identifying subsets of images among the set of multiple images by analyzing metadata attribute values of the set of multiple images and nearest neighbor distance values between the query image and the multiple images in the set; determining one or more items of metadata attributable to the query image by processing metadata of the subsets of images; and outputting, to a user, the items of metadata in response to the query image.

Generating metadata for image-based querying

Methods, systems, and computer program products for generating search determinations for assortment planning and buying using visual sketches are provided herein. A computer-implemented method includes processing a query image by identifying one or more visual features in the query image and applying at least one nearest neighbor algorithm to the one or more identified visual features; identifying, from one or more databases, multiple images based at least in part on the processing; generating a result set by applying one or more smoothing algorithms to the multiple identified images; generating at least one sketch based at least in part on the result set; and outputting the at least one generated sketch to one or more users via a user interface.

Generating search determinations for assortment planning using visual sketches

A neural network based search system is provided. A first digital image is analyzed by a user device. A targeted object in the first digital image is determined based, at least in part, on (i) the characteristics of the first digital image and (ii) the features of the targeted object. A vector array is generated based, at least in part, on (i) the first digital image and (ii) the targeted object. The vector array is analyzed by the user device. The targeted object is determined based, at least in part, by the vector array. A plurality of digital images is identified based, at least in part, on the similarity of the plurality of digital images and (i) the first digital image and (ii) the targeted object responsive to identifying a plurality of digital images, a query processing is generated. The query map is generated on a user device.

Visually guided query processing

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New Delhi, India

Ayushi Dalmia