System and method for recommending alternative service providers
AssigneeCambrian Designs, Inc.
InventorsOlaf Jonny Groth, Mark Jay Nitzberg, Manu Kalia, Tobias Christopher Straube, Daniel A Zehr
Life of this patent
Estimating the term…
Abstract
An automated system tracks digital service providers (DSP) data management agreements, DSP behavior, and user behavior, individually and in aggregate, to determine recommended alternatives for content/service sites/providers than those used by a user. The alternatives are selected based on their scoring and congruency or compliance with a user's target privacy data treatment parameters.
Claims20
A method of recommending privacy-friendly data service provider (DSP) sites to a user accessing DSP content using an automated security agent for controlling online interactions comprising:
- a. evaluating a set of DSP sites to map them to respective categories of content and privacy data policies associated such sites;
- wherein said evaluating and mapping in step (a) is performed by a machine learning algorithm based on tokenizing and classifying at least said privacy data policies at such sites;
- b. processing a personal privacy charter (PPC) for the user;
- wherein said PPC is adapted to be used by the software agent when such agent negotiates privacy requirements of a proposed data exchange between the user and a DSP, including user access of content at said DSP in accordance with said privacy data policies;
- c. identifying a first weighted privacy score based on a first data privacy policy for at least a first category of service for a first DSP which the user engages with;
- d. calculating a second weighted privacy score based on a second data privacy policy for at least one second DSP which is also associated with said first category of service;
- e. presenting said second DSP as an alternative to the user when said second weighted privacy score is better then said first weighted privacy score for the user.
A method of recommending privacy-friendly data service provider (DSP) sites to a user accessing DSP content using an automated security agent for controlling online interactions comprising:
- a. processing a personal privacy charter (PPC) for the user;
- wherein said PPC is adapted to be used by the software agent while such agent is negotiating privacy requirements of a proposed data exchange between the user and a DSP, including user access of content at said DSP in accordance with a DSP privacy data policy;
- b. monitoring the user's interaction with a first DSP during a data session to access first content, to make a determination whether the user PPC is compatible with first DSP user data policies at said first DSP site;
- wherein said determination is made by analyzing whether the first DSP user data policies include disclosure and/or use of user identified privacy information that is not authorized by the PPC;
- c. recommending an alternative site for said first content and/or second content related to said first content in response to a determination that the user PPC is not compatible with said first DSP user data policies,
- wherein said alternative site is determined by a compatibility calculation for a user data policy at such alternative site compared to said PPC performed by a machine learning algorithm based on tokenizing and classifying user data policy content at one or more secondary sites
- d. selecting one of such secondary sites as said alternative site for the user in place of said first DSP based on said compatibility calculation.
A system for recommending privacy-friendly data service provider (DSP) sites to a user accessing DSP content using an automated security agent for controlling online interactions comprising:
- a computing machine including one or more executable software routines adapted to:
- a. evaluate a set of DSP sites to map them to respective categories of content and privacy data policies associated such sites;
- wherein said evaluating and mapping is performed by a machine learning algorithm based on tokenizing and classifying at least said privacy data policies for such sites;
- b. process a personal privacy charter (PPC) for the user:
- wherein said PPC is adapted to be used by the software agent when such agent negotiates privacy requirements of a proposed data exchange between the user and a DSP, including user access of content at said DSP in accordance with said privacy data policies;
- C. identify a first weighted privacy score based on a first data privacy policy for at least a first category of service for a first DSP which the user engages with;
- d. calculate a second weighted privacy score based on a second data privacy policy for at least one second DSP which is also associated with said first category of service;
- e. present said second DSP as an alternative to the user when said second weighted privacy score is better then said first weighted privacy score for the user.
Dependencies are inferred from the claim text.