US 11,677,827 B2
Method and system for cache data analysis for enterprise content management systems
Gourav Mukherjee, Bangalore (IN); Venkatesh Giriyappa, Bangalore (IN); Saurav Choudhuri, Bangalore (IN); and Ravi Ranjan Jha, Bangalore (IN)
Assigned to OPEN TEXT CORPORATION, Waterloo (CA)
Filed by Open Text Corporation, Waterloo (CA)
Filed on Apr. 5, 2022, as Appl. No. 17/713,883.
Application 17/713,883 is a continuation of application No. 17/214,475, filed on Mar. 26, 2021, granted, now 11,323,515.
Application 17/214,475 is a continuation of application No. 16/694,629, filed on Nov. 25, 2019, granted, now 10,965,754, issued on Mar. 30, 2021.
Application 16/694,629 is a continuation of application No. 16/113,537, filed on Aug. 27, 2018, granted, now 10,498,826, issued on Dec. 3, 2019.
Application 16/113,537 is a continuation of application No. 14/036,174, filed on Sep. 25, 2013, granted, now 10,091,292, issued on Oct. 2, 2018.
Prior Publication US 2022/0232076 A1, Jul. 21, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 67/1097 (2022.01)
CPC H04L 67/1097 (2013.01) 20 Claims
OG exemplary drawing
 
1. A system for provisioning content, the system comprising:
a processor;
a non-transitory, computer-readable medium storing a processor-based application, the processor-based application including instructions that are executable by the processor to:
obtain tags corresponding to content categories associated with documents provided by a first server;
store, in a relationship database, the obtained tags, user information about users associated with clients that requested the documents provided by the first server, and relationships between the tags and the user information;
identify, using the tags, the user information and the relationships stored in the relationship database, a first content category based on content associated with a client associated with a first user including first content accessed by the first user;
identify a first document associated with the first content category, and not part of the first content accessed by the first user; and
send a message from the first server to the client associated with the first user to suggest the first document associated with the first content category to the first user.