Facilitation of valuation of objects

Abstract

This disclosure describes a solution to assign values to personal objects that can be calculated based on a number of criteria and stored for the objects. Future values can also be projected. Types of value can include monetary, sentimental, and donation value. Personal objects, such as objects within the inventory of a house, apartment, or other dwelling, can be tagged using a radio frequency identification tag (RFID) or other tag that has at least a memory store, an antenna for communication within a near-field range, and optionally, a power supply, such as a battery. Such a tag can be applied to, or otherwise associated with, a personal object. The memory can be used to contain data associated with the object, which can be accessed via an RFID reader, which can be used to collect objects into an object inventory.

What is claimed is: 
     
         1 . A method, comprising:
 based on explicit training data and implicit training data, training, by a system comprising a processor, a neural network to determine sentimental values of objects;   monitoring, by the system, an object over a defined period of time; and   using the neural network, generating, by the system, sentimental value data representative of a sentimental value of the object based on a characteristic of the object determined by the monitoring.   
     
     
         2 . The method of  claim 1 , wherein the characteristic comprises a location change characteristic representative of changes in location of the object over the defined period of time. 
     
     
         3 . The method of  claim 1 , wherein the characteristic comprises an ownership change characteristic representative of changes in ownership of the object over the defined period of time. 
     
     
         4 . The method of  claim 1 , wherein the characteristic comprises a usage change characteristic representative of changes in usage of the object over the defined period of time. 
     
     
         5 . The method of  claim 1 , wherein the characteristic comprises a presence characteristic representative of individuals who were present when the object was acquired. 
     
     
         6 . The method of  claim 1 , further comprising sending, by the system via a communication network, a signal that causes the sentimental value data to be stored in a programmable identification tag device associated with the object. 
     
     
         7 . The method of  claim 1 , wherein the defined period of time is a first defined period of time, and wherein the characteristic comprises an event characteristic representative of an event that occurred within a second defined period of time from a time of the object was acquired. 
     
     
         8 . A system, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
 training, based on explicit training data and implicit training data, an artificial intelligence model to determine sentimental values of objects; 
 receiving characteristic data representing a characteristic of an object over a defined window of time; and 
 determining, using the artificial intelligence model, sentimental value data representative of a sentimental value of the object based on the characteristic of the object. 
   
     
     
         9 . The system of  claim 8 , wherein the characteristic comprise location changes in location of the object over the defined window of time. 
     
     
         10 . The system of  claim 8 , wherein the characteristic comprise ownership changes in ownership of the object over the defined window of time. 
     
     
         11 . The system of  claim 8 , wherein the characteristic comprise usage changes in usage of the object over the defined window of time. 
     
     
         12 . The system of  claim 8 , wherein the characteristic comprises specific people who were present when the object was purchased. 
     
     
         13 . The system of  claim 8 , wherein the operations further comprise transmitting a signal that causes the sentimental value data to be stored in a radio frequency identification tag device of the object. 
     
     
         14 . The system of  claim 8 , wherein the defined window of time is a first defined window of time, and wherein the characteristic comprises a significant event, determined to be significant to an owner of the object, that occurred within a second window period of time from a time of the object was acquired. 
     
     
         15 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
 training, based on explicit training data and implicit training data, a machine learning model to determine sentimental values of objects;   tracking an object over a defined period of time comprising determining a characteristic of the object; and   determining, using the machine learning model, a sentimental value of the object based on the characteristic of the object.   
     
     
         16 . The non-transitory machine-readable medium of  claim 15 , wherein determining the characteristic comprises determining different locations of the object over the defined period of time. 
     
     
         17 . The non-transitory machine-readable medium of  claim 15 , wherein determining the characteristic comprises determining different possessions of the object over the defined period of time by different people. 
     
     
         18 . The non-transitory machine-readable medium of  claim 15 , wherein determining the characteristic comprises determining different usages of the object over the defined period of time. 
     
     
         19 . The non-transitory machine-readable medium of  claim 15 , wherein determining the characteristic comprises determining significant people to a person who purchased the object and were present when the object was purchased. 
     
     
         20 . The non-transitory machine-readable medium of  claim 15 , wherein the operations further comprise archiving the sentimental value via storage utilizing a blockchain technology.