Inferential user matching system
Systems and methods of inferential user matching include inferring an interest in matching between the first user and the second user based at least in part on a first profile of a first user and a second profile of a second user. Based at least in part on the inferred interest in matching, the systems and methods match the first user and the second user for a service, and transmit (i) a first representation of the first user to a portable device of the second user, and (ii) a second representation of the second user to a portable device of the first user.
1. An inferential user matching system comprising:
one or more processors; and
a memory storing software that, when executed by the one or more processors, cause the inferential user matching system to:
based at least in part on a first profile of a first user and a second profile of a second user, infer an interest in matching between the first user and the second user;
based at least in part on the inferred interest in matching, match the first user and the second user for a service; and
transmit, over one or more networks, (i) a first representation of the first user to a portable device of the second user, and (ii) a second representation of the second user to a portable device of the first user.
2. The inferential user matching system of claim 1 , wherein the executed software causes the inferential user matching system to infer the interest in matching based on a set of usage behaviors of the first user and the second user.
3. The inferential user matching system of claim 1 , wherein the first user and the second user are included in a user community having one or more common interests.
4. The inferential user matching system of claim 3 , wherein the executed software further causes the inferential user matching system to:
based on the one or more common interests of the user community, transmit at least one of a recommendation or an advertisement to portable devices of a plurality of users in the user community.
5. The inferential user matching system of claim 4 , wherein the executed software causes the inferential user matching system to include the plurality of users in the user community based on a number of trends corresponding to the plurality of users utilizing the inferential user matching system.
6. The inferential user matching system of claim 5 , wherein the executed software causes the inferential user matching system to enable adaptive advertisement delivery to the plurality of users in the user community based on the number of trends.
7. The inferential user matching system of claim 1 , wherein the executed software further causes the inferential user matching system to:
based on matching the first user and the second user for the service, provide a contact feature to at least one of the portable device of the first user or the portable device of the second user to enable contact between the first user and the second user.
8. A non-transitory computer readable medium storing software that, when executed by one or more processors, causes the one or more processors to:
based at least in part on a first profile of a first user and a second profile of a second user, infer an interest in matching between the first user and the second user;
based at least in part on the inferred interest in matching, match the first user and the second user for a service; and
transmit, over one or more networks, (i) a first representation of the first user to a portable device of the second user, and (ii) a second representation of the second user to a portable device of the first user.
9. The non-transitory computer readable medium of claim 8 , wherein the executed software causes the one or more processors to infer the interest in matching based on a set of usage behaviors of the first user and the second user.
10. The non-transitory computer readable medium of claim 8 , wherein the first user and the second user are included in a user community having one or more common interests.
11. The non-transitory computer readable medium of claim 10 , wherein the executed software further causes the one or more processors to:
based on the one or more common interests of the user community, transmit at least one of a recommendation or an advertisement to portable devices of a plurality of users in the user community.
12. The non-transitory computer readable medium of claim 11 , wherein the executed software causes the one or more processors to include the plurality of users in the user community based on a number of trends corresponding to the plurality of users utilizing an inferential user matching system.
13. The non-transitory computer readable medium of claim 12 , wherein the executed software causes the one or more processors to enable adaptive advertisement delivery to the plurality of users in the user community based on the number of trends.
14. The non-transitory computer readable medium of claim 8 , wherein the executed software further causes the one or more processors to:
based on matching the first user and the second user for the service, provide a contact feature to at least one of the portable device of the first user or the portable device of the second user to enable contact between the first user and the second user.
15. A computer-implemented method of inferential matching, the method being performed by one or more processors and comprising:
based at least in part on a first profile of a first user and a second profile of a second user, inferring an interest in matching between the first user and the second user;
based at least in part on the inferred interest in matching, matching the first user and the second user for a service; and
transmitting, over one or more networks, (i) a first representation of the first user to a portable device of the second user, and (ii) a second representation of the second user to a portable device of the first user.
16. The method of claim 15 , wherein the one or more processors infer the interest in matching based on a set of usage behaviors of the first user and the second user.
17. The method of claim 15 , wherein the first user and the second user are included in a user community having one or more common interests.
18. The method of claim 17 , further comprising:
based on the one or more common interests of the user community, transmitting at least one of a recommendation or an advertisement to portable devices of a plurality of users in the user community.
19. The method of claim 18 , wherein the one or more processors include the plurality of users in the user community based on a number of trends corresponding to the plurality of users utilizing an inferential user matching system.
20. The method of claim 19 , wherein the one or more processors amenable adaptive advertisement delivery to the plurality of users in the user community based on the number of trends.