Method and system for auction information management

• US 10,614,516 B2
• Filed: 10/13/2017
• Issued: 04/07/2020
• Est. Priority Date: 08/24/2011
• Status: Active Grant

• Current Assignee: Strategic Acquisitions Inc. (Exworth Management LLC)
• Original Assignee: Strategic Acquisitions Inc. (Exworth Management LLC)
• Inventors: Jones, David N.
• Primary Examiner(s): Vy, Hung T
• Application Number:
  US15/783,441
• Publication Number:
  US 20180053251A1
• Time in Patent Office: 907 Days
• Field of Search: 707607, 707705, 707736, 707737, 705 1
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 50/167 Closing

Abstract

Foreclosure auction information received from each of a plurality of sources of such information via respective Internet bots, manual updates, or other sources, is used to populate a database according to a predefined schema and ruleset. The database is updated in near real time (from any or all of the datasources), and actionable auction information that meets user-determined criteria for accuracy, timeliness and/or relevancy is extracted from the database and presented for use by a user.

Claims

1. A method comprising:

receiving, via a processor, a plurality of input datasets from a plurality of bots, wherein the input datasets include a first input dataset and a second input dataset;

parsing, via the processor, the input datasets such that a plurality of records is formed based on categorizing the input datasets according to a user-defined criterion and grouping the records into a first group of records and a second group of records, wherein the first group of records is categorized as having an active status indicative of a satisfaction of the user-defined criterion, wherein the second group of records is categorized as having a pass status indicative of a lack of satisfaction of the user-defined criterion;

populating, via the processor, a database with the records according to a schema and a rule set based on a first comparison and a second comparison, wherein the first comparison includes comparing a record from the first input dataset and a record from the second input dataset to the records in the database based on a first unique identifier associated with each of the records, wherein the second comparison includes comparing the record from the first input dataset to the record from the second input dataset based on the first unique identifier and a second unique identifier associated with each of the records, wherein the database is populated with the record from the first input dataset and the record from the second input dataset based on a result of each of the first comparison and the second comparison indicating that the record from the first input dataset and the record from the second input dataset and the records in the database are distinct;

modifying, via the processor, the database based on incorporating into the database information extracted from a plurality of modified input datasets received from the bots, the modifying includes editing the active status or the pass status of the records based on the information extracted from the modified input datasets and re-categorizing the records in accordance with the editing; and

taking, by the processor, an action with respect to the records in the database as modified.

2. The method of claim 1, wherein the populating comprises:

executing, by the processor, the first comparison of the parsed record from a first input dataset and the parsed record from the second input dataset to the records in the database based at least in part on a first unique identifier associated with each of the records; and

executing, by the processor, a second comparison of the parsed record from the first input dataset to the parsed record from the second input dataset based at least in part on the first unique identifier and a second unique identifier associated with each of the records.

3. The method of claim 1, wherein the populating comprises:

populating the database with the parsed record from the first input dataset and the parsed record from the second input dataset based on a result of each of the first and second comparison indicated that the parsed records from the first and second input datasets and the records in the database are distinct.

4. The method of claim 1, wherein the parsing includes collating information in the received input datasets to eliminate redundancies.

5. The method of claim 1, wherein the schema defines different notations for common features present in the information.

6. The method of claim 1, further comprising:

updating the information stored in the database manually.

7. The method of claim 1, further comprising:

updating the information stored in the database by incorporating information received from a data feed.

8. The method of claim 1, wherein the information stored in the database is updated at user-defined intervals.

9. The method of claim 1, wherein the information is presented upon updating of information concerning a subject item.

10. The method of claim 9, wherein the subject item includes a specification that is used as an input to extract from the database information concerning other subject items that are at least one of available or similar.

11. The method of claim 10, wherein the information regarding the subject items of interest is ranked according to a user interest level.

12. The method of claim 1, wherein information obtained by each bot is first transferred to a web form, prior to being stored in the database.

13. The method of claim 12, wherein the web form is configured to organize the information according to the schema.

14. The method of claim 1, wherein the parsing comprises categorizing the information according to a field.

15. The method of claim 1, wherein the updating includes determining whether or not a record for a subject item already exists in the database, so that

if the record for the subject item already exists in the database, the record is updated to reflect newly obtained information from a subject item information data source, and

if the record for the subject item does not exist in the database, a new record is created and populated with information obtained from the subject item information data source.

16. The method of claim 1, wherein the change in the status of the record is from an active status to a passive status.

17. The method of claim 1, wherein the change in the status of the record is from a passive status to an active status.

18. The method of claim 1, wherein the change in the status of the record is a result of a change in a value associated with a subject item associated with the record.

19. The method of claim 1, wherein the change in the status of the record is a result of a change in a percentage of a subject item associated with the record.

20. The method of claim 1, wherein the change in the status of the record is a result of a change in a status of a subject item associated with the record.

21. A system comprising:

a server configured to;

receive a plurality of input datasets from a plurality of bots, wherein the input datasets include a first input dataset and a second input dataset;

parse the input datasets such that a plurality of records is formed based on categorizing the input datasets according to a user-defined criterion and grouping the records into a first group of records and a second group of records, wherein the first group of records is categorized as having an active status indicative of a satisfaction of the user-defined criterion, wherein the second group of records is categorized as having a pass status indicative of a lack of satisfaction of the user-defined criterion;

populate a database with the records according to a schema and a rule set based on a first comparison and a second comparison, wherein the first comparison includes comparing a record from the first input dataset and a record from the second input dataset to the records in the database based on a first unique identifier associated with each of the records, wherein the second comparison includes comparing the record from the first input dataset to the record from the second input dataset based on the first unique identifier and a second unique identifier associated with each of the records, wherein the database is populated with the record from the first input dataset and the record from the second input dataset based on a result of each of the first comparison and the second comparison indicating that the record from the first input dataset and the record from the second input dataset and the records in the database are distinct;

modify the database based on incorporating into the database information extracted from a plurality of modified input datasets received from the bots, the modifying includes editing the active status or the pass status of the records based on the information extracted from the modified input datasets and re-categorizing the records in accordance with the editing; and

take an action with respect to the records in the database as modified.