MANAGING COMMERCE-RELATED COMMUNICATIONS WITHIN A SOCIAL NETWORKING SYSTEM
The present disclosure is directed toward systems and methods for managing commerce-related communications within a social networking system. For example, systems and methods described herein can identify a particular social networking system post and can generate an optimized version of that particular post. In one or more embodiments, systems and methods described herein can also identify additional social networking system posts that are related to the particular social networking system post.
1 - 20 . (canceled)
21 . A method comprising:
analyzing social networking system activity information associated with a social networking system user to identify one or more triggers indicating that the social networking system user would like to compose a want to buy post;
identifying, in response to the one or more triggers, one or more sale listings corresponding to the social networking system activity information; and
generating a pre-formatted want to buy post including information associated with the one or more triggers and structured data associated with the one or more sale listings.
22 . The method as recited in claim 21 , further comprising receiving a user-composed social networking system post associated with the social networking system user.
23 . The method as recited in claim 22 , wherein analyzing social networking system activity information associated with the social networking system user to identify one or more triggers comprises analyzing one or more of the social networking system user's search terms, the social networking system user's search results, the social networking system user's page views, the social networking system user's comments, or features of the user-composed social networking system post associated with the social networking system user.
24 . The method as recited in claim 23 , wherein analyzing features of the user-composed social networking system post comprises analyzing one or more of brand names included in the user-composed social networking system post, product names included in the user-composed social networking system post, acronyms included in the user-composed social networking system post, multimedia featuring a particular item in the user-composed social networking system post, keywords indicating interest in a particular item in the user-composed social networking system post, or transactional details in the user-composed social networking system post.
25 . The method as recited in claim 21 , wherein identifying one or more sale listings corresponding to the social networking system activity information comprises identifying one or more of: sale listings in one or more social networking system for-sale groups corresponding to the social networking system activity, retail descriptions corresponding to the social networking system activity, retail pictures corresponding to the social networking system activity, retail videos corresponding to the social networking system activity, or retail price suggestions corresponding to the social networking system activity.
26 . The method as recited in claim 25 , wherein generating the pre-formatted want to buy post comprises:
generating post text based on the one or more triggers and structured data associated with the one or more sale listings; and
formatting the generated post text and at least a portion of the structured data associated with the one or more sale listings into the pre-formatted want to buy post.
27 . The method as recited in claim 26 , wherein generating the post text further comprises adding one of more of specific want to buy acronyms or phrases to the generated post text based on the one or more triggers and structured data associated with the one or more sale listings.
28 . The method as recited in claim 26 , wherein generating the pre-formatted want to buy post further comprises adding a payment mechanisms within the pre-formatted want to buy posts that will allow for a transfer of funds between individual social networking system users.
29 . A system comprising:
at least one processor; and
at least one non-transitory computer-readable storage medium storing instructions thereon that, when executed by the at least one processor, cause the system to:
analyze social networking system activity information associated with a social networking system user to identify one or more triggers indicating that the social networking system user would like to compose a want to buy post;
identify, in response to the one or more triggers, one or more sale listings corresponding to the social networking system activity information; and
generate a pre-formatted want to buy post including information associated with the one or more triggers and structured data associated with the one or more sale listings.
30 . The system as recited in claim 29 , further storing instructions thereon that, when executed by the at least one processor, cause the system to receive a user-composed social networking system post associated with the social networking system user.
31 . The system as recited in claim 30 , wherein analyzing social networking system activity information associated with the social networking system user to identify one or more triggers comprises analyzing one or more of the social networking system user's search terms, the social networking system user's search results, the social networking system user's page views, the social networking system user's comments, or features of the user-composed social networking system post associated with the social networking system user.
32 . The system as recited in claim 31 , wherein analyzing features of the user-composed social networking system post comprises analyzing one or more of brand names included in the user-composed social networking system post, product names included in the user-composed social networking system post, acronyms included in the user-composed social networking system post, multimedia featuring a particular item in the user-composed social networking system post, keywords indicating interest in a particular item in the user-composed social networking system post, or transactional details in the user-composed social networking system post.
33 . The system as recited in claim 32 , wherein identifying one or more sale listings corresponding to the social networking system activity information comprises identifying one or more of: sale listings in one or more social networking system for-sale groups corresponding to the social networking system activity, retail descriptions corresponding to the social networking system activity, retail pictures corresponding to the social networking system activity, retail videos corresponding to the social networking system activity, or retail price suggestions corresponding to the social networking system activity.
34 . The system as recited in claim 33 , wherein generating the pre-formatted want to buy post comprises:
generating post text based on the one or more triggers and structured data associated with the one or more sale listings; and
formatting the generated post text and at least a portion of the structured data associated with the one or more sale listings into the pre-formatted want to buy post.
35 . The system as recited in claim 34 , wherein generating the post text further comprises adding one of more of specific want to buy acronyms or phrases to the generated post text based on the one or more triggers and structured data associated with the one or more sale listings.
36 . The system as recited in claim 35 , wherein generating the pre-formatted want to buy post further comprises adding a payment mechanisms within the pre-formatted want to buy posts that will allow for a transfer of funds between individual social networking system users.
37 . A non-transitory computer readable medium storing instructions thereon that, when executed by at least one processor, cause the at least one processor to:
analyze social networking system activity information associated with a social networking system user to identify one or more triggers indicating that the social networking system user would like to compose a want to buy post;
identify, in response to the one or more triggers, one or more sale listings corresponding to the social networking system activity information; and
generate a pre-formatted want to buy post including information associated with the one or more triggers and structured data associated with the one or more sale listings.
38 . The non-transitory computer readable medium as recited in claim 37 , further storing instructions thereon that, when executed by the at least one processor, cause the at least one processor to:
receive a user-composed social networking system post associated with the social networking system user; and
wherein analyzing social networking system activity information associated with the social networking system user to identify one or more triggers comprises analyzing one or more of the social networking system user's search terms, the social networking system user's search results, the social networking system user's page views, the social networking system user's comments, or features of the user-composed social networking system post associated with the social networking system user.
39 . The non-transitory computer readable medium as recited in claim 38 , wherein:
analyzing features of the user-composed social networking system post comprises analyzing one or more of brand names included in the user-composed social networking system post, product names included in the user-composed social networking system post, acronyms included in the user-composed social networking system post, multimedia featuring a particular item in the user-composed social networking system post, keywords indicating interest in a particular item in the user-composed social networking system post, or transactional details in the user-composed social networking system post; and
identifying one or more sale listings corresponding to the social networking system activity information comprises identifying one or more of: sale listings in one or more social networking system for-sale groups corresponding to the social networking system activity, retail descriptions corresponding to the social networking system activity, retail pictures corresponding to the social networking system activity, retail videos corresponding to the social networking system activity, or retail price suggestions corresponding to the social networking system activity.
40 . The non-transitory computer readable medium as recited in claim 39 , wherein generating the pre-formatted want to buy post comprises:
generating post text based on the one or more triggers and structured data associated with the one or more sale listings, wherein generating the post text further comprises adding one of more of specific want to buy acronyms or phrases to the generated post text based on the one or more triggers and structured data associated with the one or more sale listings;
formatting the generated post text and at least a portion of the structured data associated with the one or more sale listings into the pre-formatted want to buy post; and
adding a payment mechanisms within the pre-formatted want to buy posts that will allow for a transfer of funds between individual social networking system users.