Aol Inc.

Oath Inc.

Yahoo Assets LLC

Yahoo Ad Tech LLC

Verizon Media Inc.

Oath (Americas) Inc.

Sang Chul Song

Thu R Kyaw

Saad Mufti

Sean Christopher Timm

Sudhir Achuthan

Vineet Mahajan

Elena Haliczer

Jonathan Ji

John Franklin Pavley

Mikhail Nicholaos Barrett

Aaron T Soules

Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.

Systems and methods for providing and using an internet sentiment index

Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.

Systems and method for performing contextual classification using supervised and unsupervised training

Methods, systems, and computer-readable media are disclosed for dynamic partitioning in distributed computing environments. One method includes: receiving a first data set and a second data set; mapping the first data set into a first set of key-value pairs; mapping the second data set into a second set of key-value pairs; estimating, using a sketch, a frequency count for each key based on the first set of key-value pairs and the second set of key-value pairs; determining whether the estimated frequency count for each key is greater than or equal to a predetermined threshold; and partitioning the key when the estimated frequency count for the key is greater than or equal to the predetermined threshold.

Systems and methods for dynamic partitioning in distributed environments

Computer-implemented systems and methods are provided for presenting content recommendations. In one implementation, a method is provided for providing content recommendations to a plurality of users. The method may include generating a first plurality of content recommendations for a first user using a first plurality of methods, each of the first plurality of methods having a weight associated therewith. The method may further include selecting a second plurality of content recommendations from the first plurality of content recommendations based on the weights associated with the first plurality of methods. The method may further include providing the second plurality of content recommendations to the first user. The method may further include updating the weights associated with the first plurality of methods based on engagement by the first user with the second plurality of content recommendations.

Systems and methods for providing personalized recommendations for electronic content

Systems and methods are provided for processing and displaying user-generated content. User-generated content is received from a user over a network. A conversation related to the received user-generated content is identified. A score associated with the identified conversation is calculated based on one or more parameters related to the user or the conversation. The user-generated content is provided for display in relation to the conversation, based on the calculated score associated with the conversation.

Systems and methods for processing and displaying user-generated content

Systems and methods for performing contextual classification using supervised and unsupervised training

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Aldie, VA, United States of America

Sang Chul Song