Loading...
Please wait, while we are loading the content...
Transaction Facilitating Marketplace Platform
| Content Provider | The Lens |
|---|---|
| Abstract | A platform facilitates buyers, sellers, and third parties in obtaining information related to each other's transaction histories, such as a supplier's shipment history, the types of materials typically shipped, a supplier's customers, a supplier's expertise, what materials and how much a buyer purchases, buyer and shipper reliability, similarity between buyers, similarity between suppliers, and the like. The platform aggregates data from a variety of sources, including, without limitation, customs data associated with actual import/export transactions, non-public shipper records, and facilitates the generation of reports as to the quality of buyers and suppliers, the reports relating to a variety of parameters that are associated with buyer and supplier quality. |
| Related Links | https://www.lens.org/lens/patent/009-309-104-991-439/frontpage |
| Language | English |
| Publisher Date | 2019-10-01 |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Patent |
| Jurisdiction | United States of America |
| Date Applied | 2018-01-04 |
| Agent | Proskauer Rose Llp |
| Applicant | Panjiva Inc |
| Application No. | 201815861850 |
| Claim | A computer-implemented method for ranking supplier or buyer search results comprising: converting, with a processor, structured data associated with a plurality of suppliers into a unified data format independent of a physical format of delivery and a logical formatting of the structured data; storing, in a memory device, the structured data in the unified format; comparing, with a processor, the structured data to search keywords received from a user through a user interface hosted by a server; generating, with the processor, a candidate search result set of entities based on the comparison, wherein the candidate search result set of entities comprises a filtered number of suppliers from the plurality of suppliers; weighting a combination of a plurality of entity performance measures for a portion of the entities in the candidate search result set of entities, wherein the plurality of entity performance measures includes at least one measure selected from the list consisting of: number of shipments made by the supplier that matches at least one aspect of a buyer's request, number of similar products the supplier makes that match the buyer's request, export value per category of product exported by the supplier, and number of certifications or clearances that a particular supplier has; ranking, with the processor, the filtered number of suppliers based on the weighted combination of the plurality of entity performance measures; and arranging the search results based on the ranking. The computer-implemented method of claim 1 further comprising determining, with the processor, a weighting for at least one structured data element that correlates to at least one of the search keywords by applying a term frequency-inverse document frequency (TF-IDF) algorithm to at least a portion of a plurality of free text fields included in the structured data, and wherein the generating the candidate search result set is further based on the determined weighting for the at least one structured data element. The computer-implemented method of claim 2 , wherein producing the ranking of the filtered number of suppliers is further based on a result of applying the TF-IDF algorithm to the structured data. The computer-implemented method of claim 1 , wherein weighting the combination includes logarithmically weighting. The computer-implemented method of claim 1 , wherein the structured data associated with the plurality of entities comprises structured data that is captured through an intake process associated with an entity enrollment process. The computer-implemented method of claim 5 , wherein the entity enrollment process is one of a direct or a sponsored enrollment. The computer-implemented method of claim 6 , wherein the sponsored enrollment is enrollment based on publicly available information about the entity. The computer-implemented method of claim 1 , further comprising applying a word significance algorithm to the search keywords to determine a ranking of the search results by more heavily weighting matches to significant search keywords. The computer-implemented method of claim 1 , wherein weighting the combination includes using a machine-learning algorithm. The computer-implemented method of claim 1 , wherein the weighting the combination further includes a contact convenience factor for the corresponding supplier. The computer-implemented method of claim 1 , wherein the contact convenience factor includes a consideration of a likelihood that the user will be able to communicate with the corresponding supplier. The computer-implemented method of claim 1 , wherein the plurality of entity performance measures further includes at least one measure selected from a list consisting of: a supplier specialization indicator, a caliber rating of buyers served by a supplier, and a supplier relevant experience indicator. The computer-implemented method of claim 1 , wherein the plurality of entity performance measures further includes at least one measure selected from a list consisting of: a customer loyalty value of a supplier, a buyer buying pattern for a supplier, and a buyer switch event to a different supplier. The computer-implemented method of claim 1 , further comprising determining that two of the plurality of entities are the same entity in response to at least one operation selected from the operations consisting of: an entity name match, an entity address match, and a kgram filtering operation on records corresponding to the two entities. The computer-implemented method of claim 1 , further comprising filtering the number of suppliers using on a kgram filter based on overlapping character strings, the kgram filter having a kgram filter threshold of at least 10 characters. |
| CPC Classification | INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE; COMMERCIAL; FINANCIAL; MANAGERIAL OR SUPERVISORY PURPOSES;SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE; COMMERCIAL; FINANCIAL; MANAGERIAL OR SUPERVISORY PURPOSES; NOT OTHERWISE PROVIDED FOR |
| Examiner | Garcia Ade |
| Extended Family | 152-157-450-406-663 134-319-668-939-813 010-807-339-545-836 082-694-740-177-48X 110-122-746-646-128 097-609-917-839-190 141-956-475-572-950 113-653-744-496-658 126-416-219-090-409 161-548-812-048-15X 142-965-699-022-510 061-464-540-854-057 070-022-802-959-00X 122-313-492-179-490 104-802-109-836-465 194-048-116-802-530 084-066-113-104-244 187-227-132-101-347 089-445-347-596-52X 068-008-340-329-333 060-651-309-318-646 132-300-769-414-431 009-309-104-991-439 033-026-437-389-120 048-333-107-818-37X 179-949-230-699-455 157-390-414-130-519 151-810-508-975-192 025-112-864-340-461 024-720-132-695-788 127-964-033-108-248 077-289-653-465-045 125-156-537-054-644 119-899-543-489-900 |
| Patent ID | 10430846 |
| Inventor/Author | Psota James Ryan Green Joshua |
| IPC | G06Q30/06 G06Q10/08 G06Q30/02 |
| Status | Active |
| Owner | Panjiva Inc |
| Simple Family | 024-720-132-695-788 127-964-033-108-248 061-464-540-854-057 009-309-104-991-439 097-609-917-839-190 048-333-107-818-37X |
| CPC (with Group) | G06Q30/0201 G06Q30/0241 G06Q30/0605 G06Q10/08 |
| Issuing Authority | United States Patent and Trademark Office (USPTO) |
| Kind | Patent/New European patent specification (amended specification after opposition procedure) |
