Seekr Technologies, Inc.

Ntent, Inc.

Matteo Catena

Darshan Mallenahalli Shankaralingappa

Ricardo Alberto Baeza-Yates

Ricardo Baeza-Yates

Berkant Baria Cambazoglu

Berkant Barla Cambazoglu

One or more techniques and/or systems are provided for implementing a pipeline used to generate, train, test, and implement a document scoring model for assigning document scores to documents. Features from various sources are combined to create a joined page level feature set, a joined domain level feature set, and a host level feature set. Numerical features and content features are extracted from ground truth documents and random documents. The numerical features are joined with the joined feature sets to create a set of joined features. The document scoring model is trained using the set of joined features and a training technique. A document is scored with a document score using the document scoring model based upon the content features and the set of joined features with document scores obtained during training.

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Barcelona, Spain

Matteo Catena