Salesforce Com, Inc.

Kenneth Chung Kay Ko

Joshua Luft-Glidden

Rupali Jagtap

Sanjaya Lai

Lucas Pfister

Ashley Mcguire

Volodymyr Ivanov

Kanagha Pradha Kumar Prasad

A moderation framework monitors content posted in a database network and uses a declarative configuration scheme that defines moderation rules without having to write new software. A user interface operated by the moderation platform allows selection of different user criteria and different content criteria for triggering the moderation rules. The user interface also provides selectable actions for the moderation rules to apply when the content matches the selected user and content criteria. The user interface also allows selection of different entities for associating with different moderation rules, such as accounts, cases, opportunities, Chatter&#xae; feed posts, or custom objects defined by customers.

Extensible moderation framework

Some external users in a public on-line community may post excessive numbers of items, causing annoyance to others and unnecessary loading on database resources. A robust moderation framework enables an individual community moderator or admin to specify a set of rules and actions to mitigate this problem. Scalable, performant rate limiting rules employ windowed counters, separately for each rule, with the counters maintained in cache memory resources outside the main database.

Rate limiting in a moderation framework of a database system

A multi-token matching scheme efficiently detects multi-token keyword matches in content received by a database system. A keyword list may include multi-token keywords. Head tokens from the multi-token keywords are converted into a head hashmap. Token chains identifying tokens and delimiters in the multi-token keywords are generated and linked to the head hashmap. Tokens in the content are compared with the head hashmap. The matching tokens and following segments in the content are compared with the token chains. Portions of the content matching the token chains are identified as keyword matches. The matching scheme may use reverse delimiter tries to detect content matches for multi-token keywords with leading delimiters.

Multi-token matching scheme

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San Francisco, CA, United States of America

Kenneth Chung Kay Ko