Granted Patent B2

US 12,731,102 · App. 17/967,573 · Granted Sep 8, 2026

Inventors: Venkata Vara Prasad Karri (Visakhapatnam, IN); Hemant Kumar Sivaswamy (Pune, IN); Shikhar Kwatra (San Jose, CA); Preethi Balakrishnan (Chennai, IN)

Assignee: International Business Machines Corporation

G06Q30/0639G06Q10/0838G06Q10/40G06Q30/0633

Abstract

Claims (70)

1 . A computer-implemented method of providing recommendations, the computer-implemented method comprising:

determining, by a framework and based on a user-specified input received via a first user interface displayed on a user device of a user, an item of interest to the user and a first geographic region of the user;

accessing, by the framework, a plurality of electronic commerce websites of a plurality of geographic regions that are different from the first geographic region;

based on a determination that the item of interest is available at the plurality of electronic commerce websites of the plurality of geographic regions, aggregating and storing, by the framework, data associated with the item of interest within a ledger of a blockchain implemented on one or more remote servers;

retrieving, by the framework, social networking data for the user, from a remote server of social networking website, and processing the social networking data using natural language processing (NLP);

determining, by the framework, contacts of the user that are located in the plurality of geographic regions of the plurality of electronic commerce websites based on the processing of the social networking data using the NLP;

determining, by the framework, a likelihood of each contact of the contacts traveling to the first geographic region based on the social networking data;

selecting, by the framework and from the contacts, a contact having a likelihood greater than a likelihood threshold;

selecting, by the framework, an electronic commerce website from the plurality of electronic commerce websites that offers the item of interest or a similar item, wherein the selected electronic commerce website corresponds to a second geographic region, of the plurality of geographic regions, of the selected contact;

presenting the selected electronic commerce website to the user, via the first user interface displayed on the user device of the user, as an option for obtaining the item of interest or the similar item, wherein the selected electronic commerce website is presented to the user as a dynamic website morphing suggestion, and in response to receiving a selection of the option via the user device of the user, routing the user from the first user interface to the selected electronic commerce website; and

deleting the social networking data from a temporary storage, based on the presenting of the selected electronic commerce website.

2 . The computer-implemented method of claim 1 , further comprising:

presenting the selected contact to the user as a shipping option for delivery of the item of interest or the similar item.

3 . The computer-implemented method of claim 1 , further comprising:

extracting travel history data of the contacts from the social networking data using the NLP; and

determining the likelihood of each contact of the contacts traveling to the first geographic region based on the extracted travel history data.

4 . The computer-implemented method of claim 1 , further, comprising:

extracting travel itinerary data of the contacts from the social networking data using the NLP; and

determining the likelihood of each contact of the contacts traveling to the first geographic region based on the extracted travel itinerary data.

5 . The computer-implemented method of claim 1 , wherein

the item of interest is specified in a wish-list of the user, the wish-list being maintained in one or more electronic commerce websites of the plurality of electronic commerce websites, or

the item of interest was previously viewed in the one or more electronic commerce websites.

6 . The computer-implemented method of claim 1 , wherein the selecting of the electronic commerce website from the plurality of electronic commerce websites includes choosing the electronic commerce website based on a purchase history of the user and a quality of the item of interest.

7 . The computer-implemented method of claim 1 , wherein the selecting of the electronic commerce website from the plurality of electronic commerce websites includes choosing the electronic commerce website based on pricing information for the item of interest or the similar item.

8 . A system, comprising:

one or more computer processors configured to execute operations including:

determining, based on a user-specified input received via a first user interface displayed on a user device of a user, an item of interest to the user and a first geographic region of the user;

accessing a plurality of electronic commerce websites of a plurality of geographic regions that are different from the first geographic region;

based on a determination that the item of interest is available at the plurality of electronic commerce websites of the plurality of geographic regions, aggregating and storing data associated with the item of interest within a ledger of a blockchain implemented on one or more remote servers;

retrieving social networking data for the user, from a remote server of social networking website, and processing the social networking data using natural language processing (NLP);

determining contacts of the user that are located in the plurality of geographic regions of the plurality of electronic commerce websites based on the processing of the social networking data using the NLP;

determining a likelihood of each contact of the contacts traveling to the first geographic region based on the social networking data;

selecting, from the contacts, a contact having a likelihood greater than a likelihood threshold;

selecting an electronic commerce website from the plurality of electronic commerce websites that offers the item of interest or a similar item, wherein the selected electronic commerce website corresponds to a second geographic region, of the plurality of geographic regions, of the selected contact;

presenting the selected electronic commerce website to the user, via the first user interface displayed on the user device of the user, as an option for obtaining the item of interest or the similar item, wherein the selected electronic commerce website is presented to the user as a dynamic website morphing suggestion, and in response to receiving a selection of the option via the user device of the user, routing the user from the first user interface to the selected electronic commerce website; and

deleting the social networking data from a temporary storage, based on the presenting of the selected electronic commerce website.

9 . The system of claim 8 , wherein the operations further comprise:

presenting the selected contact to the user as a shipping option for delivery of the item of interest or the similar item.

10 . The system of claim 8 , wherein the operations further comprise:

extracting travel history data of the contacts from the social networking data using the NLP; and

determining the likelihood of each contact of the contacts traveling to the first geographic region based on the extracted travel history data.

11 . The system of claim 8 , wherein the operations further comprise:

extracting travel itinerary data of the contacts from the social networking data using the NLP; and

determining the likelihood of each contact of the contacts traveling to the first geographic region based on the extracted travel itinerary data.

12 . The system of claim 8 , wherein

the item of interest is specified in a wish-list of the user, the wish-list being maintained in one or more electronic commerce websites of the plurality of electronic commerce websites, or

the item of interest was previously viewed in the one or more electronic commerce websites.

13 . The system of claim 8 , wherein the selecting of the electronic commerce website from the plurality of electronic commerce websites includes choosing the electronic commerce website based on a purchase history of the user and a quality of the item of interest.

14 . The system of claim 8 , wherein the selecting of the electronic commerce website from the plurality of electronic commerce websites includes choosing the electronic commerce website based on pricing information for the item of interest or the similar item.

15 . A computer program product comprising one or more computer readable storage media having program instructions embodied therewith, the program instructions executable by one or more computer processors to cause the one or more computer processors to execute operations comprising:

determining, based on a user-specified input received via a first user interface displayed on a user device of a user, an item of interest to the user and a first geographic region of the user;

accessing a plurality of electronic commerce websites of a plurality of geographic regions that are different from the first geographic region;

based on a determination that the item of interest is available at the plurality of electronic commerce websites of the plurality of geographic regions, aggregating and storing data associated with the item of interest within a ledger of a blockchain implemented on one or more remote servers;

retrieving social networking data for the user, from a remote server of social networking website, and processing the social networking data using natural language processing (NLP);

determining contacts of the user that are located in the plurality of geographic regions of the plurality of electronic commerce websites based on the processing of the social networking data using the NLP;

determining a likelihood of each contact of the contacts traveling to the first geographic region based on the social networking data;

selecting, from the contacts, a contact having a likelihood greater than a likelihood threshold;

selecting an electronic commerce website from the plurality of electronic commerce websites that offers the item of interest or a similar item, wherein the selected electronic commerce website corresponds to a second geographic region, of the plurality of geographic regions, of the selected contact;

presenting the selected electronic commerce website to the user, via the first user interface displayed on the user device of the user, as an option for obtaining the item of interest or the similar item, wherein the selected electronic commerce website is presented to the user as a dynamic website morphing suggestion, and in response to receiving a selection of the option via the user device of the user, routing the user from the first user interface to the selected electronic commerce website; and

deleting the social networking data from a temporary storage, based on the presenting of the selected electronic commerce website.

16 . The computer program product of claim 15 , wherein the operations further comprise:

presenting the selected contact to the user as a shipping option for delivery of the item of interest or the similar item.

17 . The computer program product of claim 15 , wherein the operations further comprise:

extracting travel history data of the contacts from the social networking data using the NLP; and

determining the likelihood of each contact of the contacts traveling to the first geographic region based on the extracted travel history data.

18 . The computer program product of claim 15 , wherein the operations further comprise:

extracting travel itinerary data of the contacts from the social networking data using the NLP; and

determining the likelihood of each contact of the contacts traveling to the first geographic region based on the extracted travel itinerary data.

19 . The computer program product of claim 15 , wherein the selecting of the electronic commerce website from the plurality of electronic commerce websites includes choosing the electronic commerce website based on a purchase history of the user and a quality of the item of interest.

20 . The computer program product of claim 15 , wherein the selecting of the electronic commerce website from the plurality of electronic commerce websites includes choosing the electronic commerce website based on pricing information for the item of interest or the similar item.

Assignments (3)

Continuity (1)

References Cited (19)