System and method for machine learning based user application
OwnerMohammad A. Mazed, Sayeeda Mazedinventors
Life of this patent
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Abstract
The invention synthesizes a social network, electronic commerce (including performance based advertisement and electronic payment), a mobile internet device and a machine learning algorithm(s), utilizing a classical computer or a quantum computer enhanced machine learning algorithm(s), utilizing a quantum computer. The synthesized social commerce further dynamically integrates stored information, real time information and real time information/data/image(s) from an object/array of objects (Internet of Things (IoT)). The machine learning algorithm(s), utilizing a classical computer can include a software agent, a fuzzy logic algorithm, a predictive algorithm, an intelligence rendering algorithm and a self-learning (including relearning) algorithm.
Claims24
A computer implemented method comprising:
- (a) accessing, by a mobile internet device or a mobile wearable internet device of a first user, via a wired network or a wireless network, a web portal enabled by a learning or relearning classical computer or a learning or relearning quantum computer,
- wherein the web portal comprises:
- at least a first user profile associated with the first user and a second user profile associated with a second user,
- wherein the learning or relearning classical computer is one or more cloud computers, premise computers, or mobile computers,
- wherein the learning or relearning classical computer comprises:
- one or more first microprocessors or one or more first neural network based microprocessors, executing computer readable instructions and one or more machine learning algorithms, stored on a non-transitory computer readable medium to implement the web portal,
- wherein the learning or relearning quantum computer comprises:
- one or more quantum bits (qubits) executing quantum computer enhanced algorithms or machine learning algorithms to implement the web portal,
- wherein the mobile internet device or the mobile wearable internet device of the first user comprises:
- a wired connector or a wireless transceiver,
- wherein the mobile internet device or the mobile wearable internet device of the first user further comprises:
- a second microprocessor or a second neural network based microprocessor,
- wherein the mobile internet device or the mobile wearable internet device of the first user is physically or wirelessly communicatively coupled to a social wallet electronic module of the first user,
- wherein the social wallet electronic module of the first user electrically couples with the second microprocessor, the second neural network based microprocessor of the mobile internet device or the mobile wearable internet device of the first user,
- wherein the social wallet electronic module of the first user comprises:
- a third microprocessor or a microcontroller,
- wherein the social wallet electronic module of the first user further comprises:
- a near-field communication (NFC) component and a biometric sensor,
- wherein said accessing the web portal comprises:
- obtaining a first biometric scan of the first user from the biometric sensor of the social wallet electronic module of the first user,
- storing the first biometric scan of the first user,
- obtaining a second biometric scan of the first user from the biometric sensor of the social wallet electronic module of the first user, wherein the second biometric scan of the first user is a current biometric scan of the first user,
- comparing the first biometric scan of the first user with the second biometric scan of the first user to authenticate the first user or the social wallet electronic module of the first user;
- (b) in response to at least (a), listing or linking, by the first user, a product or a service for purchase on the first user profile in the web portal;
- (c) in response to at least (a) and (b), automatically determining, by the web portal, that the first user is interested in purchasing the product or the service;
- (d) in response to at least (a), (b) and (c), automatically determining, by the web portal, a near real time location of the first user,
- wherein the near real time location of the first user is detected by a location measurement module of the mobile internet device or the mobile wearable internet device of the first user,
- wherein the location measurement module is selected from a group consisting of:
- a radio frequency identification (RFID) module, a Bluetooth module, a WiFi module and a global positioning system (GPS) module;
- (e) in response to at least (a), (b), (c) and (d), automatically querying, by the web portal, queried sellers offering to sell the product or the service;
- (f) in response to at least (a), (b), (c), (d) and (e), automatically selecting, by the web portal, one of the queried sellers, as a selected seller of the product or the service to purchase the product or the service from, based on a distance from the near real time location of the first user;
- (g) in response to at least (a), (b), (c), (d), (e) and (f), automatically connecting, by the web portal, the first user with the selected seller;
- (h) in response to at least (a), (b), (c), (d), (e), (f) and (g), automatically forwarding, by the web portal, to the mobile internet device or the mobile wearable internet device of the first user, in near real time, one or more sale offers to purchase the product or the service, from the selected seller;
- (i) in response to at least (a), (b), (c), (d), (e), (f), (g) and (h), automatically accepting, by the web portal, like votes and dislike votes for the queried seller from the first user, the second user and a plurality of third users;
- (j) in response to at least (a), (b), (c), (d), (e), (f), (g), (h) and (i), automatically determining a number of the like votes and a number of the dislike votes;
- (k) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i) and (j), automatically determining a seller score for the queried seller based on the number of the like votes and the number of the dislike votes by an algebraic equation, a statistical method, or an algorithm based on quorum sensing;
- (l) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j) and (k), automatically displaying the seller score for the queried seller;
- (m) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k) and (l) automatically sending, by the web portal, to the mobile internet device or the mobile wearable internet device of the first user, a coupon for purchasing an additional product or service from the queried sellers;
- and
- (n) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k), (l) and (m), automatically accepting, by the web portal, payment by the first user for the product or the service, using the web portal, the first user profile, or the near-field communication (NFC) component of the social wallet electronic module of the first user, based on one or more forwarded sale offers,
- wherein the said method steps in (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k), (l), (m) and (n) are, at least an ordered combination or in an ordered sequence.
A computer implemented method comprising:
- (a) accessing, by a mobile internet device or a mobile wearable internet device of a first user, via a wired network or a wireless network, a web portal enabled by a learning or relearning classical computer or a learning or relearning quantum computer,
- wherein the web portal is receiving an input data from one or more sensors or the web portal is coupled with one or more automated agents or bots,
- wherein the web portal comprises:
- at least a first user profile associated with the first user and a second user profile associated with a second user,
- wherein the learning or relearning classical computer is one or more cloud computers, premise computers, or mobile computers,
- wherein the learning or relearning classical computer comprises:
- one or more first microprocessors or one or more first neural network based microprocessors, executing computer readable instructions and one or more machine learning algorithms, stored on a non-transitory computer readable medium to implement the web portal,
- wherein the learning or relearning quantum computer comprises:
- one or more quantum bits (qubits) executing quantum computer enhanced algorithms or machine learning algorithms to implement the web portal,
- wherein the mobile internet device or the mobile wearable internet device of the first user comprises:
- a wired connector or a wireless transceiver,
- wherein the mobile internet device or the mobile wearable internet device of the first user further comprises:
- a second microprocessor or a second neural network based microprocessor,
- wherein the mobile internet device or the mobile wearable internet device of the first user is physically or wirelessly communicatively coupled to a social wallet electronic module of the first user,
- wherein the social wallet electronic module of the first user electrically couples with the second microprocessor or the second neural network based microprocessor of the mobile internet device or the mobile wearable internet device of the first user,
- wherein the social wallet electronic module of the first user comprises:
- a third microprocessor or a microcontroller,
- wherein the social wallet electronic module of the first user further comprises:
- a near-field communication (NFC) component and a biometric sensor,
- wherein said accessing the web portal comprises:
- obtaining a first biometric scan of the first user from the biometric sensor of the social wallet electronic module of the first user,
- storing the first biometric scan of the first user,
- obtaining a second biometric scan of the first user from the biometric sensor of the social wallet electronic module of the first user, wherein the second biometric scan of the first user is a current biometric scan of the first user,
- comparing the first biometric scan of the first user with the second biometric scan of the first user to authenticate the first user or the social wallet electronic module of the first user;
- (b) in response to at least (a), listing or linking, by the first user, a product or a service for purchase on the first user profile in the web portal;
- (c) in response to at least (a) and (b), automatically determining, by the web portal, that the first user is interested in purchasing the product or the service;
- (d) in response to at least (a), (b) and (c), automatically determining, by the web portal, a near real time location of the first user,
- wherein the near real time location of the first user is detected by a location measurement module of the mobile internet device or the mobile wearable internet device of the first user,
- wherein the location measurement module is selected from a group consisting of:
- a radio frequency identification (RFID) module, a Bluetooth module, a WiFi module and a global positioning system (GPS) module;
- (e) in response to at least (a), (b), (c) and (d), automatically querying, by the web portal, queried sellers offering to sell the product or the service;
- (f) in response to at least (a), (b), (c), (d) and (e), automatically selecting, by the web portal, one of the queried sellers, as a selected seller of the product or the service to purchase the product or the service from, based on a distance from the near real time location of the first user;
- (g) in response to at least (a), (b), (c), (d), (e) and (f), automatically connecting, by the web portal, the first user with the selected seller;
- (h) in response to at least (a), (b), (c), (d), (e), (f) and (g), automatically forwarding, by the web portal, to the mobile internet device or the mobile wearable internet device of the first user, in near real time, one or more sale offers to purchase the product or the service, from the selected seller;
- (i) in response to at least (a), (b), (c), (d), (e), (f), (g) and (h), automatically accepting, by the web portal, like votes and dislike votes for the queried seller from the first user, the second user and a plurality of third users;
- (j) in response to at least (a), (b), (c), (d), (e), (f), (g), (h) and (i), automatically determining a number of the like votes and a number of the dislike votes;
- (k) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i) and (j), automatically determining a seller score for the queried seller based on the number of the like votes and the number of the dislike votes by an algebraic equation, a statistical method, or an algorithm based on quorum sensing;
- (l) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j) and (k), automatically displaying the seller score for the queried seller;
- (m) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k) and (l) automatically sending, by the web portal, to the mobile internet device or the mobile wearable internet device of the first user, a coupon for purchasing an additional product or service from the queried sellers;
- and
- (n) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k), (l) and (m), automatically accepting, by the web portal, payment by the first user for the product or the service, using the web portal, the first user profile, or the near-field communication (NFC) component of the social wallet electronic module of the first user, based on one or more forwarded sale offers,
- wherein the said method steps in (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k), (l), (m) and (n) are, at least an ordered combination or in an ordered sequence.
A system comprising:
- a learning or relearning classical computer or learning or relearning quantum computer physically or wirelessly communicatively coupled to a mobile internet device or a mobile wearable internet device of a first user,
- wherein the learning or relearning classical computer comprises:
- one or more first microprocessors or one or more first neural network based microprocessors, executing computer readable instructions and one or more machine learning algorithms, stored on a first non-transitory computer readable medium to implement a web portal,
- wherein the learning or relearning quantum computer comprises:
- one or more quantum bits (qubits) executing quantum computer enhanced algorithms or machine learning algorithms to implement the web portal,
- wherein the web portal comprises:
- at least a first user profile associated with the first user and a second user profile associated with a second user,
- wherein the mobile internet device or the mobile wearable internet device of the first user comprises:
- a second microprocessor or a second neural network based microprocessor,
- a second non-transitory computer readable medium,
- a display component selected from the group consisting of:
- a multi-touch display component, a display component with a built-in light sensing circuit, a display component with a built-in solar cell, a quantum dot display component and a stretchable display component,
- a camera,
- a wireless transceiver,
- a location measurement module, wherein the location measurement module is selected from a group consisting of:
- a radio frequency identification (RFID) module, a Bluetooth module, a WiFi module and a global positioning system (GPS) module,
- a social wallet electronic module comprising:
- a biometric sensor and a near-field communication (NFC) component,
- wherein the first non-transitory computer readable medium further stores computer readable instructions, a first set of instructions, a second set of instructions, a third set of instructions, a fourth set of instructions, a fifth set of instructions, a sixth set of instructions, a seventh set of instructions, an eighth set of instructions, a ninth set of instructions, a tenth set of instructions, an eleventh set of instructions, a twelfth set of instructions, a thirteen set of instructions and a fourteen set of instructions,
- wherein the second microprocessor or the second neural network based microprocessor communicates with the first non-transitory computer readable medium or the second non-transitory computer readable medium,
- wherein the second microprocessor or the second neural network based microprocessor is configured to execute, in communication with the first non-transitory computer readable medium or the second non-transitory computer readable medium,
- (a) the first set of instructions to access, by the mobile internet device or the mobile wearable internet device of the first user, via a wired network or wireless network, the web portal enabled by the learning or relearning computer,
- wherein said accessing the web portal comprises:
- obtaining a first biometric scan of the first user from the biometric sensor of the social wallet electronic module of the first user,
- storing the first biometric scan of the first user,
- obtaining a second biometric scan of the first user from the biometric sensor of the social wallet electronic module of the first user, wherein the second biometric scan of the user is a current biometric scan of the first user,
- comparing the first biometric scan of the first user with the second biometric scan of the first user to authenticate the first user or the social wallet electronic module of the first user;
- (b) in response to at least (a), the second set of instructions to list or link a product or a service for purchase on the first user profile in the web portal;
- (c) in response to at least (a) and (b), the third set of instructions to automatically determine, by the web portal, that the first user is interested in purchasing the product or the service;
- (d) in response to at least (a), (b) and (c), the fourth set of instructions to automatically determine, by the web portal, a near real time location of the first user, wherein the near real time location of the first user is detected by the location measurement module of the mobile internet device or the mobile wearable internet device of the first user;
- (e) in response to at least, (a), (b), (c) and (d), the fifth set of instructions to automatically query, by the web portal, queried sellers offering to sell the product or the service;
- (f) in response to at least, (a), (b), (c), (d) and (e), the sixth set of instructions to automatically select, one of the queried sellers as a selected seller of the product or the service to purchase the product or the service from, based on a distance from the near real time location of the first user;
- (g) in response to at least, (a), (b), (c), (d), (e) and (f), the seventh set of instructions to automatically to connect the first user with the selected seller;
- (h) in response to at least (a), (b), (c), (d), (e), (f) and (g), the eighth set of instructions to automatically forward, by the web portal, to the mobile internet device or the mobile wearable internet device of the first user in near real time, one or more sale offers to purchase the product or the service from the selected seller;
- (i) in response to at least (a), (b), (c), (d), (e), (f), (g) and (h), the ninth set of instructions to automatically accept, by the web portal, like votes and dislike votes for the queried sellers from the first user, the second user and a plurality of third users;
- (j) in response to at least (a), (b), (c), (d), (e), (f), (g), (h) and (i) the tenth set of instructions to automatically to determine a number of the like votes and a number of the dislike votes;
- (k) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i) and (j) the eleventh set of instructions to automatically to determine a seller score for the queried sellers based on the number of the like votes and the number of the dislike votes by an algebraic equation, a statistical method, or an algorithm based on quorum sensing;
- (l) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j) and (k) the twelfth set of instructions to automatically to display, the seller score of the queried sellers;
- (m) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k) and (l) the thirteenth set of instructions to automatically send, by the web portal, to the mobile internet device or the mobile wearable internet device of the first user, a coupon for purchasing an additional product or service from one or more the queried sellers;
- and
- (n) in response to at least (a), (b), (c), (d), (e), (f), (g), (h), (i), (j), (k), (l) and (m) the fourteenth set of instructions to automatically accept, by the web portal, payment by the first user for the product or the service, using the web portal, the first user profile, or the near-field communication (NFC) component of the social wallet electronic module of the first user, based on one or more of the forwarded sale offers,
- wherein the said first set of instructions, the second set of instructions, the third set of instructions, the fourth set of instructions, the fifth set of instructions, the sixth set of instructions, the seventh set of instructions, the eighth set of instructions, the ninth set of instructions, the tenth set of instructions, the eleventh set of instructions, the twelfth set of instructions, the thirteen set of instructions and the fourteen set of instructions are, at least an ordered combination or in an ordered sequence.
Dependencies are inferred from the claim text.