Systems, methods, and devices to map to a distributed ledger using a search term
In one implementation, a method comprises: receiving, on a computing device, a search term for a search engine; and mapping to a distributed ledger based at least on the search term, wherein the distributed ledger is stored on one or more servers coupled to the computing device over one or more computer networks, and wherein the distributed ledger corresponds to augmented data associated with the search term.
1 . A method comprising:
receiving, on a computing device, a search term for a search engine; and
mapping the search term to a distributed ledger, wherein the distributed ledger is stored on one or more servers coupled to the computing device over one or more computer networks, and wherein the distributed ledger corresponds to augmented data associated with the search term.
2 . The method of claim 1 , wherein mapping the search term to the distributed ledger comprises mapping the search term to the distributed ledger based on a correlation between the search term and at least one or more claim events, and wherein the one or more claim events comprise:
a false advertising claim, a Medicare secondary payer claim, an automobile injury claim, an opioid claim, a products liability claim, a personal injury claim, a patent infringement claim, a workman's compensation claim, a commercial litigation claim, a breach of contract claim, a breach of warranty claim, a libel claim, a slander claim, a nuisance claim, a debt collection claim, a malpractice claim, a property damage claim, a class action claim, a tort claim, a negligence claim, or combinations thereof.
3 . The method of claim 1 , further comprising:
determining a contribution factor of at least one of item data and user data associated to the search term, wherein;
the item data comprises one or more of a trackable: product, one or more commodities or elements combined to form the product, or service; and
the user data comprises data related to one or more health records, one or more biomarkers, one or more purchases, one or more geo locations, one or more medical bills, or combinations thereof.
4 . The method of claim 3 , wherein determining the contribution factor comprises:
determining one or more weights of a weighting matrix model corresponding to a first objective function associated to the user data or the item data;
computing one or more matrix multiplications of the weighting matrix based on the determined one or more weights to generate a second objective function, wherein the computed one or more matrix multiplications correspond to a maximization or minimization of the first objective function;
comparing the second objective function to a predetermined threshold, wherein the predetermined threshold is based on a ratio of an expected data metric as a function of a variance of user data metrics; and
assigning a correlation ranking of the distributed ledger based on the second objective function.
5 . The method of claim 1 , wherein mapping the search term to the distributed ledger comprises mapping the search term to the distributed ledger based at least on a contribution factor corresponding to a machine-learning model objective function.
6 . The method of claim 1 , wherein the distributed ledger comprises item data, geolocation data, liability data, and user data, and wherein each of the item data, the geolocation data, the liability data, and the user data is updated to the distributed ledger by the computing device over the one or more computer networks.
7 . The method of claim 6 , wherein the item data is associated to the search term, and wherein the item data comprises data corresponding to a trackable product, one or more trackable commodities, one or more trackable elements combined to form the trackable product, or combinations thereof.
8 . The method of claim 6 , wherein the liability data comprises: data corresponding to a potential liable entity, one or more causes of legal action, evidence of a legal cause-of-action, or combinations thereof.
9 . The method of claim 6 , wherein the user data comprises one or more of purchase data, health data, billing data, and geolocation data, wherein:
the health data comprises one or more of biomarker data, medications, diet, and environment; and
the one or more biomarker data comprises complete blood count data, red blood cell data, white blood cell data, platelets data, hemoglobin data, hematocrit data, mean corpuscular volume data, blood chemistry tests data, basic metabolic panel data, blood glucose data, calcium data, electrolytes data, kidneys data, blood enzyme test data, troponin data, creatine kinase data, cholesterol data, LDL cholesterol data, HDL cholesterol data, triglyceride data, lipoprotein panel data, coagulation panel data, echocardiogram data, nuclear perfusion study data, magnetic resonance imaging data, positron emission tomography data, or combinations thereof.
10 . The method of claim 1 , further comprising:
in response to the received search term, providing an interface to the distributed ledger, wherein the interface comprises at least a portion of the distributed ledger or a summary of the distributed ledger.
11 . The method of claim 1 , further comprising:
in response to the received search term, providing a search widget configured to determine a legal recovery or provide information related to the legal recovery.
12 . The method of claim 1 , further comprising:
in response to the received search term,
providing a value corresponding to a legal recovery, and
providing an interface, on the computing device or a computer networked to the one or more servers and the computing device, to submit a claim for the legal recovery.
13 . The method of claim 12 , wherein the search term comprises a navigational search, wherein item data associated with the search term corresponds to one or more of crime data, time duration data, geolocation data, points-of-interest data, weather data, and real-time data, and wherein the crime data comprises data corresponding to at least a quantity of potential crime events occurring in a proximity to the navigational search.
14 . The method of claim 12 , further comprising;
in response to the received search term, providing a travel route based on the distributed ledger.
15 . The method of claim 1 , wherein the search term comprises a navigational search, and wherein item data associated with the search term corresponds to one or more of emission reduction, pollution data, time duration data, geolocation data, corporate liability data, and a percentage of liability of one or more legal entities.
16 . The method of claim 1 , wherein the search engine is stored on the computing device or a separate networked server or computer.
17 . The method of claim 1 , wherein the distributed ledger corresponds to a distributed tokenized multi-dimension code matrix blockchain.
18 . The method of claim 17 , wherein the distributed tokenized multi-dimension code matrix blockchain corresponds to one or more legal blockchain claims.
19 . A computer system comprising:
a processor; and
a memory accessible to the processor, the memory storing instructions that are executable by the processor to perform operations comprising:
receiving, on a computing device, a search term for a search engine; and
mapping the search term to a distributed ledger, wherein the distributed ledger is stored on one or more servers coupled to the computing device over one or more computer networks, and wherein the distributed ledger corresponds to augmented data associated with the search term.
20 . A non-transitory computer-readable storage device storing instructions that, when executed by a processor, cause the processor to:
receive, on a computing device, a search term for a search engine; and
map the search term to a distributed ledger, wherein the distributed ledger is stored on one or more servers coupled to the computing device over one or more computer networks, and wherein the distributed ledger corresponds to augmented data associated with the search term.