Dell Products Inc.

Siddharth Sreekumar

Chris Everett Peterson

Rachel Gabrielle Mazzini

Brennan Troy Robert Seal

Nilesh Devidas Modak

Suyash Sukhendu Joshi

Rahull Ranjit Borana

Method of generating configurations of computing products, including receiving images of a particular layout of the computing product; analyzing the particular layout, including identifying computing components of the computing product and determining a thermal mapping of the computing product; identifying physical constraints associated with the computing components of the computing product; identifying product profile of the computing product that indicates, for each computing component, features of the computing component; iteratively permutating, based on the physical constraints associated with the computing components and the thermal mapping, the particular layout to define permutated layouts; iteratively permutating each of the permutated layouts based on combinations of features of each of the computing components of the particular layout; generating, for the computing component, data table indicating each of the permutated layouts of the computing product and each of the combinations of features of each of the computing components of each of the permutated layouts.

Generating configuration of computing products

Crawling electronic documents, including: for each electronic document of a plurality of electronic documents: obtaining the electronic document including obtaining an entirety of the HyperText Markup Language (HTML) of the electronic document; analyzing the electronic document to identify a plurality of elements of the electronic document, each element of the plurality of elements including HTML tags, text associated with the HTML tags, and HTML attributes; creating a plurality of clusters of texts based on a similarity of the HTML tags, the text associated with the HTML tags, and the HTML attributes of each of the plurality of elements; labeling, for each cluster of the plurality of clusters, the cluster based on the text associated with the HTML tags of one element of the cluster; and updating, for each cluster of the plurality of clusters, an electronic document crawling model with data indicating the label of the cluster.

Crawling electronic (web) documents

Analyzing data specifications, including receiving a plurality of data specifications associated with a plurality of computing components; tokenizing the data specifications; performing linear support vector classification (SVC) of the tokenized data specifications to classify each of the computing components into a respective category of computing component, wherein each category of computing product is associated with one or more attributes; for each attribute associated with the data specifications: identifying, from a plurality of models, one or more models associated with the attribute; extracting, using the identified models, the attribute data for the attribute associated with the data specifications; and storing, at an index and for each computing component, the category of the computing component and the attribute data for each attribute associated with the category of the computing component.

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Bengaluru, India

Siddharth Sreekumar