Yahoo! Inc.

Shocase, Inc.

David Anthony Burgess

Glen Anthony Ames

Amit Umesh Shanbhag

Joshua Ethan Miller Koran

Sundara Raman Rajagopalan

Soren Riise

Devesh Patel

Joshua M Koran

Peter Rugg

Jonathan Frank Haynes

James Raymond Merino

Lisa Akerman Ford

Paul Cameron Moore

Brian T Selle

Amit Umesh Shanbbag

Ronald P Young

Brandy Lee Aven

Nicholas Wayne Henderson

A system, method, and media for dynamically controlling rankings and privacy settings for a social network is presented. Upon receipt of an electronic communication from a second user of the social network directed to a first user of the social network, determining whether the first and second users of the social network are connected and determining whether the second user has been blocked from electronically communicating with the first user. in response to determining that the second user is not blocked, executing a ranking process on the second user, based on privacy level settings criteria pre-specified by the first user. The privacy level settings criteria includes preferred attributes of communicating users and a threshold ranking score and the ranking process compares the attributes of the second user to the privacy level settings criteria. Upon satisfying the threshold ranking score, the social network allows the electronic communication from the second user to be conveyed to the first user of the social network.

System and method for dynamically controlled rankings and social network privacy settings

Methods and apparatus for improving word-of-mouth online advertising are provided. Construct a social network including multiple users based on the users' social network data and optionally further based on the users' demographical and/or other personal information. Categorize the users in the social network with respect to a type of product in terms of their propensity to adopt the type of product and to influence others in the social network in adopting the type of product. Determine appropriate content object(s) for each category of users, and send the content object(s) to each category of users via different channels at the appropriate time during the product's lifecycle.

Using product and social network data to improve online advertising

A method for tracking sales leads, including a lead clearing house logging receipt in a log of one or more encrypted leads received from a participant of the lead clearing house, the one or more leads including personal lead information having been encrypted with a one-way hash algorithm; comparing the received one or more encrypted leads with stored encrypted leads to find any matches; updating the log related to the one or more encrypted leads with unencrypted log information associated with the matching one or more encrypted leads; and communicating a status to the participant based on the log relating to the one or more leads.

Trusted third party clearing house for lead tracking

A computer-implemented method, which comprises the following: aggregating a plurality of records in accordance with an aggregation specification, wherein the records are part of a dimensionally-modeled fact collection; graphically representing the records in un-aggregated form; graphically representing the records in aggregated form; and causing the graphical representation of the records to be switched between aggregated form and un-aggregated form based on a user indication.

Interactive aggregation of data on a scatter plot

A system and method to facilitate interactive selection of groupings of clusters and presentation of related datasets are described. An interactive data interface is presented to a user in a display window, the interactive data interface configured to display multiple alternate groupings of clusters associated with at least one dataset of records targeted by the user. Selection of a grouping of clusters from the plurality of selectable groupings is further facilitated based on one or more predetermined parameters associated with each grouping of clusters and the individual clusters within a respective grouping, such as, for example, a target ratio value and a target count value corresponding to each cluster of records.

System and method for facilitating interactive selection of clusters and presentation of related datasets

An unsupervised classification approach is improved by imposing some order into the treatment of the records and their attributes, which otherwise would be treated as random variables. A method is provided to identify particular attributes that are most associated with the 'good' records within each of the plurality of groups of records within a data set. Based on a supervised scoring method, the records of the data set are processed to indicate their measure of 'goodness'. There are various ways by which the records can be processed to indicate a bias during unsupervised clustering processing.

Automated clustering of records, biased by supervised classification processing

A portion of data records of a full input data set are imported into memory of a computer system for processing by an executing application. The full input data set includes data records of a dimensionally-modeled fact collection. An amount of the data of the full input set to import is determined based on an amount of available memory of the computer system. The sampling characteristics for sampling the full input data set are determined based on the amount of the data that can be imported and on characteristics of the full input data set and application involved. The full input data set is then sampled and a portion of the records are imported into the memory of the computer system for processing. The sampling characteristics are determined such that analysis as a result of processing by the executing application of the sampled portion of the records imported is representative of the analysis that could otherwise be carried out on the full input data set, with a calculable statistical relevance.

Determination of sampling characteristics based on available memory

Records representing items in a dimensionally-modeled fact collection are assigned to bins. A count-based portion of a user interface receives user bin assignment specification of the records based on user-specified counts of records. Actual counts for bin assignment are determined by constraining records having a same data value at a specified particular dimension to be within the same bin. A user-observable indication of the determined actual counts is provided. The user interface may include a value-based portion. The value-based portion of the user interface may be operated to receive user indication of bin assignment specification of records based on user-specified at least one value at the particular dimension. Determining actual counts includes reconciling the user indication of bin assignment specification in the count-based portion with the user indication of bin assignment specification in the value-based portion.

Visual interface to indicate custom binning of items

A computer-implemented method, which comprises the following: receiving a graphical selection of a subset of data points from a set of data points, each data point representing at least one record of a dimensionally-modeled fact collection; and exporting information associated with the selected subset of data points.

Growing community of inventors

Menlo Park, CA, United States of America

David Anthony Burgess