# US 10,482,484 B2 · Item data collection systems and methods with social network integration

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- Number: US 10,482,484 B2
- Document ID: US10482484B2
- Status: Granted
- Kind: B2
- Application number: 13/974,852
- Filed: 2013-08-23
- Published: 2014-02-06
- Granted: 2019-11-19
- Earliest claimed: 2007-12-14
- Assignees: John Nicholas and Kristin Gross Trust U/A/D April 13, 2010
- Applicants: The John Nicholas and Kristin Gross Trust U/A/D Apr. 13, 2010
- Inventors: John Nicholas Gross
- Web page: https://patentgrep.com/patent/US10482484B2

## CPC

- G06Q 30/0203: Market surveys; Market polls
- G06Q 10/40: Business processes related to social networking or social networking services
- G06Q 10/42: Determination of affinities or common interests between users
- G06Q 30/02: Marketing; Price estimation or determination; Fundraising
- G06Q 30/0217: involving input on products or services in exchange for incentives or rewards
- G06Q 30/0277: {Online advertisement}
- G06Q 30/0278: {Product appraisal}
- G06Q 30/0281: {Customer communication at a business location, e.g. providing product or service information, consulting}
- G06Q 50/12: Hotels or restaurants
- G06Q: 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

## Abstract

Items—including gourmet products—are evaluated and rated by participants in a controlled event, which can be coordinated by software locally or at a dedicated website. Event data, including item scores and participant scores can be shared with vendors, merchants and other commercial entities associated with the products. Promotional incentives from such entities for the products (and related products) can then be directly targeted and provided to participants and other members of the public. The participant's activities can also be collected and disseminated to affiliates/friends of the participants through social networking sites, personalized web pages, etc.

## Claims

### Claim 1

A method of conducting a sampling event for items using an event management website computing system, comprising:
providing a first routine with the event management website computing system, which first routine is adapted to enable a host to initiate and manage a live item sampling event for a first audiovisual content item;
providing a second routine with the event management website computing system, which second routine is adapted to execute on a portable electronic device and to permit one or more participants to join the host in the live item sampling event for said first audiovisual content item by selecting an activatable electronic link;
wherein said live item sampling event is a virtual event managed by the event management website computing system, in which at least some of said one or more participants are in different locations and are enabled through said second routine to sample and rate said first audiovisual item at the same time as a group of participants;
collecting and processing item sampling event data with the event management website computing system, including at least a set of individual user ratings provided by said group of participants during said virtual event using a data collection interface implemented within one or more respective portable electronic data collection devices used by said group of participants;
providing a selectable option to each of said group participants within said data collection interface, which, when selected, causes publication by the event management website computing system of information pertaining to participation in said live item sampling event to social network web pages associated with said group of participants during a time period associated with the live item sampling event; and
automatically generating and electronically displaying recommendations with the event management website computing system to at least some of said group of participants identifying other audiovisual items correlated to said first audio visual item by a recommender system.

### Claim 2 (depends on 1)

The method of claim 1, further comprising determining said set of one or more participants with the recommender system or another recommender system based on their profiles and correlation to other participants and providing a link recommending said live sampling event to said set of one or more participants.

### Claim 3 (depends on 1)

The method of claim 1, wherein said host can invite selected participants based on selection criteria, including a demographic profile and/or a social network connection.

### Claim 4 (depends on 1)

The method of claim 1, wherein ads or promotional content from sponsors of the items and/or content for related items are presented dynamically during said item sampling event.

### Claim 5 (depends on 1)

The method of claim 1, further comprising collecting opinion sampling data for additional unrelated items from said group of participants during said live item sampling event.

### Claim 6 (depends on 1)

The method of claim 1, further comprising notifying a first member of a social network that a second member of such social network correlated to said first member has also recently sampled and/or rated said audiovisual content item.

### Claim 7 (depends on 1)

The method of claim 1, further comprising notifying social network members of a friend circle of a participant of such person's attendance in said live item sampling event.

### Claim 8 (depends on 1)

The method of claim 1, further comprising communicating said live item sampling event data through a network to one or more electronic computing systems associated with third parties involved in one or more of the making, distributing, or selling of the items.

### Claim 9 (depends on 1)

The method of claim 1, further comprising transferring one or both of promotional coupons and/or or other electronic feedback from third parties over a network to said one or more electronic data collection devices or other electronic message accounts associated with said group of participants.

### Claim 10 (depends on 9)

The method of claim 9, wherein said promotional coupons and/or other electronic feedback are coupled to and dynamically adjustable by one or both of said second computing routine and said first computing routine based on a geographical location of said one or more data collection devices and/or a residence address of said group of participants.

### Claim 11 (depends on 1)

The method of claim 1, further comprising assigning an identifier to such live item sampling event which must be provided by said group of participants to attend said event.

### Claim 12 (depends on 1)

The method of claim 1, further comprising soliciting prediction data from said group of participants during said live item sampling event, including predictions for ratings that would be provided by other persons for said first audiovisual item.

### Claim 13 (depends on 1)

The method of claim 1, further comprising generating a group recommendation for said group of participants based on correlating individual collective ratings of members of such group.

### Claim 14 (depends on 1)

The method of claim 1, wherein said live item sampling event is identified by one or both of said first routine and said second routine to begin at a designated time and for a designated period.

### Claim 15 (depends on 9)

The method of claim 9, wherein said promotional electronic coupons are configured to only be active for a participant when he or she is detected within a first distance of one or more predetermined preferred establishments.

### Claim 16 (depends on 4)

The method of claim 4, wherein said ads or promotional data includes audiovisual presentations describing the history/background of said first audiovisual item or a third party provider of such item.

### Claim 17 (depends on 1)

The method of claim 1 wherein said generating of said recommendations is based in part on collaborative filtering, including correlating said one or more participants to other persons who sampled said first audiovisual item to identify said other audiovisual items.

### Claim 18 (depends on 1)

The method of claim 1 wherein said generating of said recommendations is based in part on corroborative filtering, including correlating said first audiovisual item to said other audiovisual items.

### Claim 19 (depends on 1)

The method of claim 1 further including a step: generating and providing a recommendation list of social network members predicted to be of interest for each of said one or more participants.

### Claim 20 (depends on 19)

The method of claim 19 wherein said prediction is based on similar ratings expressed by participants and said social network members for said first audiovisual item.

### Claim 21 (depends on 1)

The method of claim 1 where said recommendations of other audiovisual terms are presented in a sequence in accordance with a predicted rating for such items determined by the recommender system based on a correlation score to said first audiovisual item.

### Claim 22 (depends on 1)

The method of claim 1 wherein said host can control whether third party advertising is presented during said live sampling event by the event management website computing system.

### Claim 23 (depends on 22)

The method of claim 22 wherein said third party advertising includes product purchase information for said first audiovisual item.

### Claim 24 (depends on 22)

The method of claim 22 wherein said third party advertising includes product information for a second item unrelated to audiovisual items.

### Claim 25 (depends on 1)

The method of claim 1 further including a step: generating a data feed of participant sampling data concerning said live item sampling event which is compiled in real-time.

### Claim 26 (depends on 25)

The method of claim 25, including a step of recording and journaling content of said data feed.

### Claim 27 (depends on 1)

The method of claim 1 further a step generating a preview of the live item sampling event with the event management website computing system identifying an item to be sampled.

### Claim 28 (depends on 1)

The method of claim 1 wherein said generating of said recommendations includes recommending a second audiovisual item based on a positive rating determined for such item when presented in a sequence with said first audiovisual item.

### Claim 29 (depends on 1)

The method of claim 1 wherein said generating of said recommendations includes recommending a second audiovisual item based on a positive rating determined for such item when presented in combination with said first audiovisual item.

### Claim 30 (depends on 1)

The method of claim 1 wherein content for said first audiovisual item being rated during the live sampling event is provided by a provider of such item through a computing system separate from said event management website computing system.

### Claim 31 (depends on 1)

The method of claim 1 wherein said first audiovisual item includes music and/or video content.

### Claim 32 (depends on 1)

The method of claim 1 wherein said first routine is adapted to execute on a portable electronic device.

### Claim 33

A method of conducting a sampling event for items using an event management website computing system, comprising:
providing a first routine with the event management website computing system, which first routine is adapted to execute on a portable electronic device, said first routine permitting a host to initiate and manage a live item sampling event for a first audiovisual content item at a predetermined time;
providing a second routine with the event management website computing system, which second routine is adapted to execute on a portable electronic device and to permit one or more participants to join the host in the live item sampling event for said first audiovisual content item by selecting an activatable electronic link;
wherein said live item sampling event is a virtual event managed by the event management website computing system, in which at least some of said one or more participants are in different locations and are enabled through said second routine to sample and rate said first audiovisual item at the same time as a group of participants;
collecting and processing item sampling event data with the event management website computing system during said virtual event using a data collection interface implemented within one or more respective portable electronic data collection devices used by said group of participants, including at least a set of individual user ratings for said first audiovisual item; and
providing a selectable option to each of said group participants within said data collection interface, which, when selected, causes publication by the event management website computing system of information pertaining to participation in said live item sampling event, to social network web pages associated with said group of participants, during a time period associated with the live item sampling event; and
automatically generating and electronically displaying recommendations with the event management website computing system to at least some of said group of participants identifying one or more second audiovisual items correlated to said first audio visual item by a recommender system;
wherein said recommendations of one or more second audiovisual items are presented in a sequence determined by the recommender system to be optimized for higher participant rating scores based on a correlation of positive ratings for such items after sampling said first audiovisual item.

### Claim 34 (depends on 33)

The method of claim 33 wherein content for said first audiovisual item being rated during the live sampling event is provided by a provider of such item through a computing system separate from said event management website computing system.

### Claim 35 (depends on 33)

The method of claim 33 wherein advertising is presented in said interface data collection interface from third parties for products related to said audiovisual items.
