Abstract: A recommender system for recommending items to a user based on geo-Tagged information related to him, in which items associated with a GeoTag are stored in a database. Feedback regarding the various items is obtained from the user and the provided rating of items is propagated to closely located items based on their associated GeoTags. A user-to-user similarity matrix is calculated and a predicted score is assigned for each user and item, using a recommendation server. All the items in the catalog of items are sorted according to their predicted scores as calculated for the user, and all items that have been already rated by the user are filtered out. Then, items from the catalog of items are presented to the user, according to their scores.
Type:
Grant
Filed:
April 23, 2012
Date of Patent:
July 29, 2014
Assignee:
YooChoose GmbH
Inventors:
Michael Friedmann, David Ben-Shimon, Lior Rokach
Abstract: A recommender system for recommending items to a user based on geo-Tagged information related to him, in which items associated with a GeoTag are stored in a database. Feedback regarding the various items is obtained from the user and the provided rating of items is propagated to closely located items based on their associated GeoTags. A user-to-user similarity matrix is calculated and a predicted score is assigned for each user and item, using a recommendation server. All the items in the catalog of items are sorted according to their predicted scores as calculated for the user, and all items that have been already rated by the user are filtered out. Then, items from the catalog of items are presented to the user, according to their scores.
Type:
Application
Filed:
April 23, 2012
Publication date:
February 13, 2014
Applicant:
YooChoose GmbH
Inventors:
Michael Friedmann, David Ben-Shimon, Lior Rokach
Abstract: A recommender system for recommending items to a user based on geo-Tagged information related to him, in which items associated with a GeoTag are stored in a database. Feedback regarding the various items is obtained from the user and the provided rating of items is propagated to closely located items based on their associated GeoTags. A user-to-user similarity matrix is calculated and a predicted score is assigned for each user and item, using a recommendation server. All the items in the catalog of items are sorted according to their predicted scores as calculated for the user, and all items that have been already rated by the user are filtered out. Then, items from the catalog of items are presented to the user, according to their scores.
Type:
Application
Filed:
April 23, 2012
Publication date:
November 29, 2012
Applicant:
YooChoose GmbH
Inventors:
Michael Friedmann, David Ben-Shimon, Lior Rokach