Microsoft Technology Licensing, LLC

International Business Machines Corporation

Oplink Communications, Inc.

Facebook Technologies, LLC

Linkedin Corporation

Kun Liu

Tyrone W A Grandison

Eric Fleischman

Nathan Jeffrey Ide

Vijay G Bharadwaj

Saurav Sinha

Gopinathan Kannan

Sherry X Guo

Wen Pu

Ruslan Pavlovich Ovechkin

Christopher R Macaulay

Dwayne Lorenzo Richardson

Matthew Z Tamayo-Rios

Evimaria Terzi

Liqin Xu

Tony Sun

Anmol Bhasin

Tarun Thakur

Lifu Gong

Eugene Michael Maximilien

Rohan Ramanath

Tyrone Wilberforce Andre Grandison

Robin Sharma

Abhishek Gupta

Varun Bhagwan

Karol Constantine Hatzilias

Liang Zhang

Sebastian Sztuk

Bo Long

Javier San Agustin Lopez

Yuan Gao

Hongwei Mao

Gongjian Hu

Huiji Gao

Aman Grover

Tian Zhu

Qing Duan

Kancheng Cao

Guijun Ji

Feng Zhou

Benjamin Hoan Le

Manoj Rameshchandra Thakur

David Pardoe

Venu Javarappa

Haishan Liu

Junghoon Andrew Ahn

Jixu Chen

William Cody

Zal Yaz Bilimoria

Zhifeng Deng

Michael Maxmilien

Kesheng Xu

Deepak Argawal

Chongzhe Li

Christan E Grant

Bryan J Hickerson

Feng Qing Zhou

Techniques for secure data synchronization are described. In one or more implementations, a determination is made as to whether enterprise data is stored locally on a first device corresponding to an enterprise device. Based on a determination that the second device is a non-enterprise device, a determination is made as to whether a permission associated with the first device indicates that the first device is permitted to propagate the enterprise data to non-enterprise devices. If the first device lacks permission to propagate the enterprise data to non-enterprise devices, the enterprise data is prevented from being propagated to the second device.

Secure data synchronization

A hybrid cornea and pupil eye-tracking technique includes receiving iris-backscattered light from an eye and determining a pupil-position of the eye based on the iris-backscattered light. Cornea-reflected light is received from the eye and an eye-tracking position of the eye is determined based on the cornea-reflected light and the pupil-position.

Hybrid cornea and pupil tracking

The present disclosure describes various embodiments of methods, systems, and machine-readable mediums which may be used in conjunction with a campaign for distributing content to users of the social network. Among other things, embodiments of the present disclosure provide a number of advantages over conventional systems for content distribution, including a simplified targeting process and increased reach (i.e. distribution) for content providers among users of a social network, as well as improving the utilization of an inventory of content and higher and more efficient engagement with such content by users of the social network.

Audience expansion for online social network content

Instead of a fixed fee for a particular job application, discussed in some examples are methods, systems, and machine readable mediums which provide for a job posting service that utilizes a pay-per-click model. That is, job posters pay a fee for each time the member selects the job posting for further inquiry when that posting is shown to a member (called an impression). The fee that is paid is determined by the job poster. Selecting a job posting may comprise clicking on or otherwise entering an input signifying an intention to view the job.

Electronic job posting marketplace

Methods for providing a privacy setting for a target user relative to relationships with a number of other users in a social network utilizing an electronic computing device are presented, the method including: causing the electronic computing device to retrieve a current privacy setting for a common profile item, where the common profile item corresponds with the target user and each of the number of other users, and where the common profile item is one of a number of common profile items; causing the electronic computing device to calculate a pseudo-common profile item sensitivity value for the common profile item based on the current privacy settings of the target user and the number of other users; causing the electronic computing device to calculate a final common profile item sensitivity value for the common profile item based on the current privacy setting.

Providing and managing privacy scores

Machine learning techniques are described for generating recommendations using decision trees. A decision tree is generated based on training data that comprises multiple training instances, each of which comprises a feature value for each of multiple features and a label of a target variable. The multiple features correspond to attributes of multiple content delivery campaigns. Later, feature values of a content delivery campaign are received. The decision tree is traversed using the feature values to generate output. Based on the output, one or more recommendations are identified and the one or more recommendations are presented on a computing device.

Machine-learned recommender system for performance optimization of network-transferred electronic content items

Techniques for incremental workflow execution are provided. In one technique, a computing job in a workflow identifies an input path that indicates a first location from which the computing job is to read input data. The computing job identifies an output path that indicates a second location to which the computing job is to write output data. The computing job performs a comparison between the input path and the output path. Based on the comparison, the computing job determines whether to read the input data from the first location. If the input path does not correspond to the output path, then the computing job reads the input data from the first location, generates particular output data based on the input data, and writes the particular output data to the second location. The computing job ceases to execute if the input path corresponds to the output path.

Incremental workflow execution

Techniques related to cache management for multi-node databases are disclosed. In some embodiments, a system comprises one or more computing devices including a training component, data store, cache, filtering component, and listening component. The training component produces a plurality of models based on user interaction data. The plurality of models are stored in the data store, which responds to requests from the cache when the cache experiences cache misses. The cache stores a first subset of the plurality of models. The filtering component selects a second subset of the plurality of models based on one or more criteria. Furthermore, the filtering component sends the second subset of the plurality of models to a messaging service. The listening component retrieves the second subset of the plurality of models from the messaging service. Furthermore, the listening component causes the second subset of the plurality of models to be stored in the cache.

Cache management for multi-node databases

Techniques for generating recommendation cluster within a social network service are described. Consistent with some embodiments, sample members in a social network service are identified. The sample members may be associated with prior member activity involving a source member. A cluster category this then selected based on a member attribute shared by a plurality of the sample members. In turn, a recommendation cluster is generated based on the selected cluster category. Generating the recommendation duster may involve selecting member profiles that match the cluster category. The member profiles selected in this way form the recommendation cluster. One or more of the member profiles of the recommendation cluster are then surfaced to a client device operated by the source member.

Generating recommendation clusters in a social network

Methods for providing a privacy setting for a target user in a social network utilizing an electronic computing device are presented, the method including: causing the electronic computing device to retrieve a current privacy setting for a common profile item, where the common profile item corresponds with the target user and each of a number of users, and where the common profile item is one of a number of common profile items; causing the electronic computing device to calculate a common profile item sensitivity value for the common profile item based on the current privacy setting; causing the electronic computing device to calculate a common profile item visibility value for the common profile item based on the a current privacy setting and the sensitivity value for the common profile item; and causing the electronic computing device to calculate the privacy score of the target user.

Methods, systems, and apparatus for optical wavelength selective switching. One 2&#xd7;2 wavelength selective switch array includes a plurality of optical input ports configured to receive one or more optical input beams, and a plurality of optical output ports configured to receive one or more one or more optical output beams wherein the plurality of optical input ports and optical output ports form an array of 2&#xd7;2 optical port pairs; one or more optical conditioning and wavelength dispersion elements; a polarization modulator array having a plurality of polarizing modulation cells, each cell configured to independently change a polarization orientation of an optical beam passing through the cell and associated with a particular wavelength channel; and a polarization-selective beam-routing optical element configured to route each particular input beam to either a first output port or a second output port according to polarization orientation.

2&#xd7;2 wavelength selective switch array

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for optical switching. An optical switch device includes a first multicast switch unit; and a second multicast switch unit, wherein each of the first and second multicast switch units respectively include: multiple optical input ports; multiple optical switches; multiple optical splitters/combiners; and multiple optical output ports.

Twin multicast switch

Techniques for secure data synchronization are described. In one or more implementations, techniques may be employed to conserve high cost data storage by storing larger portions of encrypted data in low cost storage, while storing relatively smaller encryption keys in higher cost storage. A device that is granted access to the encryption keys can retrieve the encrypted data from the low cost storage and use the encryption keys to decrypt the encrypted data.

Systems and methods for reducing a churn rate associated with subscribers of social network services are described. In some example embodiments, the systems and methods may access activity information associated with a former subscriber of a social network service, compare the accessed activity information to activity information associated with subscribers of the social network service, identify one or more differences between the activity information associated with the former subscriber of the social network service and the activity information associated with the subscribers of the social network service, and perform an action based on the identified one or more differences.

Determining a churn probability for a subscriber of a social network service

Growing community of inventors

San Jose, CA, United States of America

Kun Liu