Granted Patent B2

US 12,682,375 · App. 19/031,074 · Granted Jul 14, 2026

Inventor: Ronen Benchetrit (London, GB)

Assignee: Bumble IP Holdco LLC

G06F16/9535G06F16/9538G06Q10/40

Abstract

Claims (49)

1 . A computer-implemented method comprising:

receiving, from a client device associated with a requesting user, a request to view profiles for one or more other users, wherein the requesting user and the other users are users of a social network;

applying matching criteria to a profile of the requesting user and the profiles for the one or more other users of the social network to identify profiles for a sequence of profiles;

responsive to receipt of the request to view the profiles, enabling sequential display, on a user interface of the client device, of information representative of the sequence of profiles, comprising:

enabling display, on the user interface, of first information representative of a first profile of the identified profiles;

determining, using a machine learning classifier, a user review attribute for the first profile by processing data associated with an interaction of the requesting user and the first profile, wherein the user review attribute represents an interest of a user viewing a displayed profile;

dynamically adjusting the sequence of profiles based on the determined user review attribute for the first profile; and

enabling display, on the user interface, of second information representative of a second profile of the identified profiles in the adjusted sequence of profiles.

2 . The computer-implemented method of claim 1 , wherein applying the matching criteria to the profile of the requesting user and the profiles for the one or more other users of the social network to identify the profiles for the sequence of profiles comprises applying at least one of interests, location, or age between the profile of the requesting user and the profiles for the one or more other users of the social network to identify the profiles.

3 . The computer-implemented method of claim 1 , wherein the sequence of profiles comprises the sequence of profiles in a predefined order, wherein the predefined order is based on a similarity between each profile of the sequence of profiles and the profile of the requesting user.

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

enabling display, on the user interface, a first selectable element that allows the requesting user to view a subsequent profile in the sequence of profiles; and

enabling display, on the user interface, a second selectable element that allows the requesting user to view an immediately preceding profile in the sequence of profiles.

5 . The computer-implemented method of claim 1 , wherein enabling the display of the first information representative of the first profile of the identified profiles comprises enabling the display of at least one of a name of a user of the first profile, an age of the user of the first profile, biographical text of the first profile, one or more photographs of the first profile, a location of the user of the first profile, or one or more links to social network profiles of the user of the first profile.

6 . The computer-implemented method of claim 1 , wherein determining the user review attribute for the first profile comprises determining at least one of an eye movement of the requesting user viewing the first profile, a facial expression of the requesting user viewing the first profile, or a physiological reaction of the requesting user viewing the first profile.

7 . The computer-implemented method of claim 1 , wherein dynamically adjusting the sequence of profiles based on the determined review attribute for the first profile comprises:

identifying one or more profiles of the sequence of profiles for which the determined user review attribute satisfies a threshold value; and

identifying one or more similar profiles to the one or more identified profiles for which the determined user review attribute satisfies the threshold value.

8 . The computer-implemented method of claim 7 , comprising in response to identifying the one or more similar profiles, adjusting, in a current browsing session on the user interface, the sequence of profiles to include the one or more identified similar profiles or to advance the one or more identified similar profiles in the sequence of profiles.

9 . The computer-implemented method of claim 7 , comprising in response to identifying the one or more similar profiles, adjusting, in a subsequent browsing session on the user interface, the sequence of profiles to include the one or more identified similar profiles or to advance the one or more identified similar profiles in the sequence of profiles.

10 . The computer-implemented method of claim 1 , wherein enabling display, on the user interface, of the second information representative of the second profile of the identified profiles in the adjusted sequence of profiles comprises enabling display, on the user interface, of the second information of the second profile that is a next subsequent profile from the first profile in the adjusted sequence of profiles.

11 . The computer-implemented method of claim 1 , further comprising requesting permission from the requesting user to participate in the machine learning classifier determining the interest of the requesting user viewing the displayed profile.

12 . A system comprising:

one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:

receiving, from a client device associated with a requesting user, a request to view profiles for one or more other users, wherein the requesting user and the other users are users of a social network;

applying matching criteria to a profile of the requesting user and the profiles for the one or more other users of the social network to identify profiles for a sequence of profiles;

responsive to receipt of the request to view the profiles, enabling sequential display, on a user interface of the client device, of information representative of the sequence of profiles, comprising:

enabling display, on the user interface, of first information representative of a first profile of the identified profiles;

determining, using a machine learning classifier, a user review attribute for the first profile by processing data associated with an interaction of the requesting user and the first profile, wherein the user review attribute represents an interest of a user viewing a displayed profile;

dynamically adjusting the sequence of profiles based on the determined user review attribute for the first profile; and

enabling display, on the user interface, of second information representative of a second profile of the identified profiles in the adjusted sequence of profiles.

13 . The system of claim 12 , wherein applying the matching criteria to the profile of the requesting user and the profiles for the one or more other users of the social network to identify the profiles for the sequence of profiles comprises applying at least one of interests, location, or age between the profile of the requesting user and the profiles for the one or more other users of the social network to identify the profiles.

14 . The system of claim 12 , wherein the sequence of profiles comprises the sequence of profiles in a predefined order, wherein the predefined order is based on a similarity between each profile of the sequence of profiles and the profile of the requesting user.

15 . The system of claim 12 , further comprising:

enabling display, on the user interface, a first selectable element that allows the requesting user to view a subsequent profile in the sequence of profiles; and

enabling display, on the user interface, a second selectable element that allows the requesting user to view an immediately preceding profile in the sequence of profiles.

16 . The system of claim 12 , wherein enabling the display of the first information representative of the first profile of the identified profiles comprises enabling the display of at least one of a name of a user of the first profile, an age of the user of the first profile, biographical text of the first profile, one or more photographs of the first profile, a location of the user of the first profile, or one or more links to social network profiles of the user of the first profile.

17 . The system of claim 12 , wherein determining the user review attribute for the first profile comprises determining at least one of an eye movement of the requesting user viewing the first profile, a facial expression of the requesting user viewing the first profile, or a physiological reaction of the requesting user viewing the first profile.

18 . The system of claim 12 , wherein dynamically adjusting the sequence of profiles based on the determined review attribute for the first profile comprises:

identifying one or more profiles of the sequence of profiles for which the determined user review attribute satisfies a threshold value; and

identifying one or more similar profiles to the one or more identified profiles for which the determined user review attribute satisfies the threshold value.

19 . One or more non-transitory computer-readable media storing software comprising instructions that are operable, when executed by one or more computers, to cause the one or more computers to perform operations comprising:

receiving, from a client device associated with a requesting user, a request to view profiles for one or more other users, wherein the requesting user and the other users are users of a social network;

applying matching criteria to a profile of the requesting user and the profiles for the one or more other users of the social network to identify profiles for a sequence of profiles;

responsive to receipt of the request to view the profiles, enabling sequential display, on a user interface of the client device, of information representative of the sequence of profiles, comprising:

enabling display, on the user interface, of first information representative of a first profile of the identified profiles;

determining, using a machine learning classifier, a user review attribute for the first profile by processing data associated with an interaction of the requesting user and the first profile, wherein the user review attribute represents an interest of a user viewing a displayed profile;

dynamically adjusting the sequence of profiles based on the determined user review attribute for the first profile; and

enabling display, on the user interface, of second information representative of a second profile of the identified profiles in the adjusted sequence of profiles.

Assignments (5)

Continuity (3)

References Cited (182)