System and methods for detecting temporal music trends from online services
US-9524487-B1 · Dec 20, 2016 · US
US9971830B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9971830-B2 |
| Application number | US-201213605999-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 6, 2012 |
| Priority date | Sep 6, 2012 |
| Publication date | May 15, 2018 |
| Grant date | May 15, 2018 |
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Based on information associated with users, a social networking system recommends one or more groups for a target user to join or to create. Characteristics of the target user, characteristics of users connected to the target user, characteristics of candidate groups in the social networking system may be used to identify groups for recommendation. The social networking system may provide questions to the target user and recommend a group to the target user based on received answers to the questions. For example, the answers to the provided question identify one or more characteristics of the target user, which are used to select a group for recommendation. Additionally, the social networking system may recommend additional users for the target user to add or invite to a group based on characteristics of the target user, the additional users, and/or the group.
Opening claim text (preview).
What is claimed is: 1. A method for recommending users to invite to a social networking system group comprising: receiving, at a social networking system server from a client device, a request from a user of a social networking system identifying the social networking system group maintained by the social networking system, the group including a set of users of the social networking system; accessing, by the social networking system, a user profile associated with the user of the social networking system, the user profile identifying one or more characteristics of the user; determining, by the social networking system server from the user profile, a set of candidate users connected to the user and not included in the identified group; determining, by the social networking system server, a user score for each of the candidate users, a user score for a candidate user based on each of one or more characteristics of the candidate user, a likelihood that the user will invite the candidate user when suggested, a likelihood that the candidate user will join the group when invited by the user, and an amount of activity of the user within the identified group; selecting, by the social networking system server, a candidate user associated with a user score greater than a threshold value from the set of candidate users; and presenting, by the social networking system server via the client device, the selected candidate user to the user within a social networking system interface displayed by the client device. 2. The method of claim 1 , wherein a characteristic of the candidate user comprises one or more characteristics common to the user and the candidate user. 3. The method of claim 2 , wherein selecting the candidate user from the set of candidate users further comprises: selecting a candidate user connected to a highest number of characteristics common to the user. 4. The method of claim 2 , wherein the user score for the candidate user is proportional to a number of characteristics common to the user and the candidate user. 5. The method of claim 2 , wherein the user score for the candidate user is proportional to a percentage of characteristics common to the user and the candidate user. 6. The method of claim 1 , wherein a characteristic of the candidate user comprises a frequency of interaction between the candidate user and the user. 7. The method of claim 6 , wherein the user score for the candidate user is proportional to the frequency of interaction between the candidate user and the user. 8. The method of claim 1 , wherein the group identified by the request includes the user. 9. The method of claim 1 , wherein the group identified by the request is a group the user recently joined. 10. The method of claim 1 , wherein one or more characteristics of the candidate user are selected from a group consisting of: geographic information associated with the candidate user, biographic information associated with the candidate user, one or more interests of the candidate user, one or more additional users connected to the candidate user, and one or more groups including the candidate user. 11. The method of claim 1 , wherein a characteristic of the candidate user comprises one or more characteristics of the candidate user associated with one or more characteristics of the group. 12. The method of claim 1 , further comprising: receiving an input from the user identifying the selected candidate user; and adding the selected user to the group responsive to the input. 13. The method of claim 1 , further comprising: adding the selected user to the group. 14. A non-transitory computer readable storage medium storing executable computer instructions that, when executed by a hardware processor, cause the hardware processor to perform steps comprising: receiving, at a social networking system server from a client device, a request from a user of a social networking system identifying a social networking system group maintained by the social networking system, the group including a set of users of the social networking system; accessing, by the social networking system, a user profile associated with the user of the social networking system, the user profile identifying one or more characteristics of the user; determining, by the social networking system server from the user profile, a set of candidate users connected to the user and not included in the identified group; determining, by the social networking system server, a user score for each of the candidate users, a user score for a candidate user based on each of one or more characteristics of the candidate user, a likelihood that the user will invite the candidate user when suggested, a likelihood that the candidate user will join the group when invited by the user, and an amount of activity of the user within the identified group; selecting, by the social networking system server, a candidate user associated with a user score greater than a threshold value from the set of candidate users; and presenting, by the social networking system server via the client device, the selected candidate user to the user within a social networking system interface displayed by the client device. 15. A system for recommending users to invite to a social networking system group comprising: a non-transitory computer readable storage medium storing executable instructions that, when executed, perform steps comprising: receiving, at a social networking system server from a client device, a request from a user of a social networking system identifying the social networking system group maintained by the social networking system, the group including a set of users of the social networking system; accessing, by the social networking system, a user profile associated with the user of the social networking system, the user profile identifying one or more characteristics of the user; determining, by the social networking system server from the user profile, a set of candidate users connected to the user and not included in the identified group; determining, by the social networking system server, a user score for each of the candidate users, a user score for a candidate user based on each of one or more characteristics of the candidate user, a likelihood that the user will invite the candidate user when suggested, a likelihood that the candidate user will join the group when invited by the user, and an amount of activity of the user within the identified group; selecting, by the social networking system server, a candidate user associated with a user score greater than a threshold value from the set of candidate users; and presenting, by the social networking system server via the client device, the selected candidate user to the user within a social networking system interface displayed by the client device; and a hardware processor to execute the instructions.
Business processes related to social networking or social networking services · CPC title
Search customisation based on user profiles and personalisation · CPC title
Profile generation, learning or modification · CPC title
Filtering based on additional data, e.g. user or group profiles (filtering in web context G06F16/9535, G06F16/9536) · CPC title
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