Intuit, Inc.

Aol Advertising Inc.

Sharethis, Inc.

Fifth Street Finance Corp., As Agent

Yan Qu

Hans Marius Holtan

Jianxiang Chang

Chao Qin

Srividya Narayanan

Yang Sun

Jing Wang

Manu Shukla

Yingxin Wang

Lin Tao

Neil Wayne Cohen

Pero Subasic

Jaimyoung Kwon

Manu Mukerji

Nanda Kishore

Robert S Cabacungan

Rohan A Mehta

Jay L Chang

Kenin A H Coloma

Brian Whitney

Certain aspects of the present disclosure provide techniques for detecting sentences that are utterances by an agent indicating an intent to poach a customer. According to certain embodiments, a language model is trained using query sentences that are confirmed to be sentences used in poaching a customer, to identify semantically similar sentences in a corpus. These semantically similar sentences are then used as base sentences for comparison to sentences in a transcript. Sentences of the transcript that are found to be semantically similar to one or more base sentences are provided to a user device for review and confirmation that the similar sentence was generated by an agent in an attempt to poach a customer.

Utterance intent detection

Systems and methods for verifying an identity of a party to a video call are disclosed. An example method may be performed by one or more processors of a verification system and include storing first facial encodings, each of the first facial encodings associated with one or more images of a corresponding registered user of a plurality of registered users associated with the verification system, receiving, during a video call associated with a specified registered user of the plurality of registered users, a second facial encoding associated with one or more images of a person participating in the video call, the second facial encoding received from a device with which the person uses to participate in the video call, identifying, among the first facial encodings, a first facial encoding corresponding to the specified registered user, and determining whether the person participating in the video call is the specified registered user.

Large scale and high throughput video identity monitoring and verification

Systems and methods for verifying identifies of parties to a video conference call are disclosed. An example method includes storing a plurality of first facial encodings each associated with one or more images of a registered agent, receiving, during the video conference call, a second facial encoding associated with one or more images of a person participating in the video conference call, determining that a specified registered agent is scheduled as a party to the video conference call, comparing the second facial encoding to a selected first facial encoding associated with the specified registered agent, and determining, based at least in part on the comparing, whether or not the person is the specified registered agent.

Embodiments of a method for determining a mapping are illustrated. In an embodiment, the method includes receiving a log record from a tracking component that is located on a plurality of web pages. The method further includes determining a first mapping between a plurality of anchors associated with the plurality of users. The method also includes determining a second mapping between the plurality of users based on the first mapping.

Analysis system and method used to construct social structures based on data collected from monitored web pages

Systems and methods are disclosed for characterizing one or more users accessing a plurality of web pages. In an embodiment, a social sharing graph is generated based on the one or more log records. The one or more log records are indicative of the one or more user activities. A first and a second score are assigned to preferably each of the one or more users in the social sharing graph based on the one or more log records. Finally, the one or more users are categorized in a first category and a second category based on the first score and the second score.

Method and system for measuring social influence and receptivity of users

Systems and methods are disclosed for generating an expanded user segment based on a target segment of users associated with a specified target feature. In one implementation, a method is provided that includes receiving information about online activity by a set of users, the information including a unique user ID associated with each of the set of users; extracting from the received information, data about the set of users who are associated with the specified target feature; specifying one or more independent features relevant to a user association with the specified target feature; building a model that represents the probability of any user being associated with the specified target feature, based on the extracted data and the independent features; and using the model to score a network population of users relative to the specified feature, based on information received about online activity by the network population of users.

Systems and methods for generating expanded user segments

A computer-implemented method is provided for managing online user profiles. The method includes receiving information about online activity of a user, the information including at least a unique user ID and a URL requested by the user; fetching textual content associated with the URL requested by the user; generating one or more keywords based on the textual content; and generating or updating a user profile of the user to include the one or more keywords. A system for managing online user profiles is also provided.

Systems and methods for online user profiling and segmentation

Growing community of inventors

Cupertino, CA, United States of America

Yan Qu