Method and apparatus for constructing latent social network models

Patent metadata

Field	Value
Publication number	US-10404764-B2
Application number	US-201214428231-A
Country	US
Kind code	B2
Filing date	Sep 14, 2012
Priority date	Sep 14, 2012
Publication date	Sep 3, 2019
Grant date	Sep 3, 2019

Abstract

An approach is provided for constructing dynamic latent models that determine consumer/social network intrinsic properties and automatically recommend user interactions with different social networks. A modeling platform determines one or more social networks associated with one or more users, one or more devices associated with the one or more users, or a combination thereof. A modeling platform processes and/or facilitates a processing of data associated with the one or more social networks to generate one or more latent models describing the one or more social networks. A modeling platform causes, at least in part, a presentation of a recommendation to interact with the one or more social networks, one or more other social networks, or a combination thereof based, at least in part, on the one or more latent models.

First claim

What is claimed is:

1. A method by which a computing device recommends social networks for one or more users, the method comprising:
determining a plurality of social networks associated with one or more users, one or more devices associated with the one or more users, or a combination thereof;
generating one or more latent models by causing the computing device to process data associated with the plurality of social networks, the one or more latent models describing the plurality of social networks in terms of at least one of content type, content titles, content categories or types of users;
causing a first presentation of a first user interaction recommendation to interact with a first one or more social networks of the plurality of social networks, a first one or more other social networks of the plurality of social networks, or a combination thereof based, at least in part, on the one or more latent models;
in an instance wherein the one or more devices are determined to be associated with the one or more users, determining at least one interaction with one or more applications rendering content on the one or more devices;
in an instance in which the content is determined to be previously shared by the one or more users, causing a second presentation of a second user interaction recommendation to interact with a second one or more social networks of the plurality of social networks, a second one or more other social networks of the plurality of social networks, or a second combination thereof based, at least in part, on the shared content; and
in an instance in which the content is determined to be relevant to the first one or more social networks of the plurality of social networks, automatically initiating the first user interaction recommendation to interact with the first one or more social networks.

2. A method of claim 1 ,
wherein the user interaction recommendation is further based, at least in part, on the at least one interaction.

3. A method of claim 1 , further comprising:
determining one or more credentials, one or more network profiles, or a combination thereof associated with the one or more users for the one or more social networks; and
processing the one or more credentials, the one or more network profiles, or a combination thereof to determine content associated with the one or more users,
wherein the data associated with the one or more social networks includes, at least in part, the content.

4. A method of claim 1 , further comprising:
determining one or more hierarchical levels of description for the one or more social networks, the one or more other social networks, or a combination thereof; and
causing, at least in part, the generation of the one or more latent models based, at least in part, on the one or more hierarchical levels,
wherein the one or more hierarchical levels are based, at least in part, on the data associated with the one or more social networks, the content, or a combination thereof.

5. A method of claim 1 , further comprising:
determining additional content associated with the one or more users, the one or more social networks, or a combination thereof; and
causing, at least in part, one or more updates of the one or more corresponding latent models based, at least in part, on the additional content.

6. A method of claim 3 , further comprising:
determining a quorum of the one or more credentials, the one or more network profiles, or a combination thereof; and
causing, at least in part, the generation of the one or more latent models based, at least in part, on the quorum.

7. A method of claim 3 , further comprising:
in an instance wherein the one or more devices are determined to be associated with the one or more users, determining one or more preloaded latent models on the one or more devices;
causing, at least in part, at least one modification of the one or more preloaded latent models based, at least in part, on the one or more credentials, the one or more network profiles, or a combination thereof,
wherein the at least one modification occurs periodically, according to a schedule, on demand, or a combination thereof.

8. A method of claim 7 , further comprising:
determining one or more other latent models from the one or more social networks, the one or more other social networks, or a combination thereof,
wherein the at least one modification includes, at least in part, an addition of the one or more other latent models to the one or more devices.

9. A method of claim 1 , wherein the one or more latent models include, at least in part, at least one topic list, at least one index, or a combination thereof associated with the one or more hierarchical levels.

10. An apparatus comprising: at least one processor; and at least one memory including computer program code for one or more programs:
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to recommend social networks for one or more users by causing the apparatus to perform at least the following:
determine a plurality of social networks associated with one or more users, one or more devices associated with the one or more users, or a combination thereof;
generate one or more latent models by processing data associated with the plurality of social networks, the one or more latent models describing the plurality of social networks in terms of at least one of content type, content titles, content categories or types of users;
cause a first presentation of a first user interaction recommendation to interact with a first one or more social networks of the plurality of social networks, a first one or more other social networks of the plurality of social networks, or a combination thereof based, at least in part, on the one or more latent models;
in an instance wherein the one or more devices are determined to be associated with the one or more users, determine at least one interaction with one or more applications rendering content on the one or more devices;
in an instance in which the content is determined to be previously shared by the one or more users, cause a second presentation of a second user interaction recommendation to interact with a second one or more social networks of the plurality of social networks, a second one or more other social networks of the plurality of social networks, or a combination thereof based, at least in part, on the shared content; and
in an instance in which the content is determined to be relevant to the first one or more social networks of the plurality of social networks, automatically initiate the first user interaction recommendation to interact with the first one or more social networks.

11. An apparatus of claim 10 ,
wherein the user interaction recommendation is further based, at least in part, on the at least one interaction.

12. An apparatus according to claim 10 , wherein the apparatus is further caused to:
determine one or more credentials, one or more network profiles, or a combination thereof associated with the one or more users for the one or more social networks; and
process the one or more credentials, the one or more network profiles, or a combination thereof to determine content associated with the one or more users,
wherein the data associated with the one or more social networks includes, at least in part, the content.

13. An apparatus according to claim 10 , wherein the apparatus is further caused to determine one or more hierarchical levels of description for the one or more social networks, the one or more other social networks, or a combination thereof; and
cause, at least in part, t

Assignees

• Sathish Sailesh
• Tian Jilei
• Nokia Technologies Oy

Inventors

• Sathish Sailesh
• Tian Jilei

Classifications

• G06Q10/40 Primary

  Business processes related to social networking or social networking services · CPC title

• H04L65/403 Primary

  Arrangements for multi-party communication, e.g. for conferences (data switching systems for conference H04L12/18; arrangements for connecting several subscribers to a common circuit, i.e. affording conference facilities H04M3/56; television conferencing systems H04N7/15) · CPC title

• G06F16/288

  Entity relationship models · CPC title

• H04L67/306

  User profiles · CPC title

• G06Q50/01

  Physics · mapped topic