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A System and Method for Personal (Data Based) Navigation Recommender

IP.com Disclosure Number: IPCOM000244516D
Publication Date: 2015-Dec-17
Document File: 6 page(s) / 736K

Publishing Venue

The IP.com Prior Art Database

Abstract

A Personal (Data Based) Navigation Recommender – "PerNav" -- includes a ubiquitous, non-intrusive and seamless routing of personal recommendations via health monitoring through an efficiently combined, real time sourcing of the user's health, wallet and media related activity, in particular:

(i) Using concepts of Mobile Sensing to seamlessly track user's information (Health, Money, Media Consumption, Navigation, Location and localization) (ii) Using an Intelligent Data tracker to reduce noise from the collected data. (iii) Using an Analytics Engine over collected data to predict meaningful recommendations. (iv) Using and combining a state of art Navigation output recommendation mechanism (in form of PerNav Plugin)

Three kinds of data monitoring channels are used : (i) Seamless monitoring of Health Data through Mobile Sensors, analyzing location, locomotion, activity and state of the users. (ii) Seamless monitoring of Mobile Wallet Data, based on user's financial transactions, service usages and purchases (iii) Seamless monitoring of Social Media use and Entertainment seeking data, based on user's internet browsing, social media presence and mobile phone usage.

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A System and Method for Personal (Data Based) Navigation Recommender

In recent times, there have been significant adaptation in using Mobile phone based Navigation Systems.

While most of these services exploit concepts of geospatial data and monitoring network signal strength to a cell tower, route recommendations in present day Navigation Systems are based on generic transportation data rather than actively mining user data to enrich and customise navigational mobility for the device user. Ignoring customisation and personalisation of data often results in inconsistent travel predictions and decision recommendations often frustrating and lowering user experiences.

In this invention, we propose the concept of a Personal (Data Based) Navigation Recommenders - "PerNav".

The advantage of our Personal (Data Based) Navigation Recommender, PerNav, is the ubiquitous, non(intrusive and seamless routing of personal recommendations via health monitoring through an efficiently combined, real time sourcing of the user's health, wallet and media related activity.

The novel aspects of the proposed invention are henceforth -

(i) Using concepts of Mobile Sensing to seamlessly track user's information (Health, Money, Media Consumption, Navigation, Location and localization)

(ii) Using an Intelligent Data tracker to reduce noise from the collected data.

(iii) Using an Analytics Engine over collected data to predict meaningful recommendations. (iv) Using and combining a state of art Navigation output recommendation mechanism (in form of PerNav Plugin)

In particular, we consider three kinds of data monitoring channels :

(i) Seamless monitoring of Health Data through Mobile Sensors, analyzing location, locomotion, activity and state of the users.

(ii) Seamless monitoring of Mobile Wallet Data, based on user's financial transactions, service usages and purchases

(iii) Seamless monitoring of Social Media use and Entertainment seeking data, based on user's internet browsing, social media presence and mobile phone usage.

The queries derived from monitoring this data is analyzed with our PerNav analytics and consequent recommendations are presented to the user in their real(time navigation context.

For example, in using the navigation application, a popup is presented to the user suggesting the nearest vehicular parking recommendation while simultaneously suggesting /prodding the user that the distance is peaceful [without traffic] walkable, optimal and contributes [certain %] towards a pre( defined target for her specific health requirements. Our pop(up recommender has intelligently fetched enough geo(social data, real time and archived, to make these critically timed suggestions. The term "geo(social" can be explained as the knowledge of not only geo( spatial co(ordinates of the user but also more socially identifiable markers of the geo co(ordinates, such as in this case, where Per(Nav recognized not only health data but the geography suitable to walk...