INTERESTINGNESS RECOMMENDATIONS IN A COMPUTING ADVICE FACILITY
The present disclosure provides a recommendation to a user through a computer-based advice facility, comprising collecting topical information, wherein the collected topical information includes an interestingness aspect; filtering the collected topical information based on the interestingness aspect; determining an interestingness rating from the collected topical information, wherein the determining is through the computer-based advice facility; and providing a user with the recommendation related to the topical information based on the interestingness rating.
1 . A method of providing a geographically localized recommendation to a user through a computer-based advice facility, comprising:
collecting a recommendation from an Internet source, the recommendation being determined to have an interestingness aspect and a geographic location aspect, the interestingness aspect being topical information that is new as determined by a date;
comparing the collected recommendation to a derived user taste and the user's current geographic location;
determining at least one recommendation for the user based on the comparison; and
delivering, using one or more processors, the at least one recommendation to a device, wherein a user of the device is enabled to at least one of view, save, or share the determined recommendation via an application at least in part resident on the computer-based advice facility.
2 . The method of claim 1 , wherein the viewing includes providing source information from the Internet source.
3 . The method of claim 2 , wherein the source information includes a visual indictor of an extent of similarity to tastes of at least one individual who made the collected recommendation.
4 . The method of claim 1 , wherein the source information includes a visual indictor of an extent of similarity to tastes of at least one individual who made the collected recommendation.
5 . The method of claim 1 , wherein the interestingness aspect is determined by an acceleration of social activity associated with topical information.
6 . The method of claim 1 , wherein the interestingness aspect is further determined to be at least one of relevant to the user's current location and a temporal factor.
7 . The method of claim 1 , wherein the interestingness aspect is further based on topical information that is new as determined by a date of emergence on the Internet.
8 . The method of claim 1 , wherein the interestingness aspect is further determined as related to the ratio of users rating the item, to the item being saved by users.
9 . The method of claim 1 , wherein the geographic location aspect is a geographical location associated with topical information.
10 . The method of claim 1 , wherein the geographic location aspect is a location of an event.
11 . The method of claim 1 , wherein the geographic location aspect is a location of a store, a restaurant, a point-of-interest, or a product location.
12 . The method of claim 1 , wherein the derived user taste is based on a rating.
13 . The method of claim 12 , wherein the rating is provided by at least one of:
the user;
a friend of the user;
a person having similar tastes as the user;
an authoritative source; or
a famous person.
14 . The method of claim 12 , wherein the rating is inferred from user behavior.
15 . The method of claim 14 , wherein the user behavior is online behavior, including at least one of buying behaviors, browsing behavior, social networking behavior, and location-based behaviors.
16 . The method of claim 1 , herein the determined recommendation is at least one of items to buy, places to visit, events to attend, and places to eat.
17 . The method of claim 1 , wherein the application is a local discovery application.
18 . The method of claim 17 , wherein the local discovery application displays images based on a determination by the advice facility of the user's inferred interest in at least one of each recommendation and each topic.
19 . A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
collecting a recommendation from an Internet source, the recommendation being determined to have an interestingness aspect and a geographic location aspect, the interestingness aspect being topical information that is new as determined by a date;
comparing the collected recommendation to a derived user taste and the user's current geographic location;
determining at least one recommendation for the user based on the comparison; and
delivering, using one or more processors, the at least one recommendation to a device, wherein a user of the device is enabled to at least one of view, save, or share the determined recommendation via an application at least in part resident on the computer-based advice facility.
20 . A system comprising
a computer-based advice facility, comprising one or more processors, configured to:
collecting a recommendation from an Internet source, the recommendation being determined to have an interestingness aspect and a geographic location aspect, the interestingness aspect being topical information that is new as determined by a date;
comparing the collected recommendation to a derived user taste and the user's current geographic location;
determining at least one recommendation for the user based on the comparison; and
delivering, using one or more processors, the at least one recommendation to a device, wherein a user of the device is enabled to at least one of view, save, or share the determined recommendation via an application at least in part resident on the computer-based advice facility.