Method and system for identifying business records
AssigneeGoogle Inc.
InventorBaris Yuksel
Life of this patent
Estimating the term…
Abstract
False or spam business listings may be identified by searching reviews associated therewith. The associated business reviews may be searched for one or more keywords that suggest the business listing is spam. Moreover, business listings may be categorized based on a type of business in the listing, and the associated reviews for business listings in each category may be searched for characteristics particular to that category. Further business reviews may be searched for hits matching portions of business reviews associated with known spam business listings. Once a business listing is identified as potential spam using these techniques, the listing may be flagged for further review.
Claims12
A computer implemented method for identifying business records, the method comprising:
- receiving a plurality of reviews for a business listing in a business category;
- analyzing the plurality of reviews, and incrementing a spam count upon identifying one or more of the following in the reviews:
- terms that match terms in a list of spam keywords, terms that infrequently appear in reviews of valid businesses in the business category, misspellings or grammatical errors that are found in reviews of previously identified spam business listings, or contact information that is found in reviews of previously identified spam business listings;
- and
- flagging the business listing as spam if the spam count is greater than a threshold.
A system, comprising:
- one or more processors;
- and
- one or more memories in communication with the one or more processors, the one or more memories storing information and instructions executable by the one or more processors for performing a method of identifying business listings, the method comprising:
- receiving a plurality of reviews for a business listing in a business category;
- analyzing the plurality of reviews, and incrementing a spam count upon identifying one or more of the following in the reviews:
- terms that indicate a spam business listing;
- terms that infrequently appear in reviews of valid businesses in the business category, misspellings that are common to reviews of previously identified spam business listings or grammatical errors that are common to reviews of previously identified spam business listings;
- and
- flagging the business listing as spam if the spam count is greater than a threshold.
Dependencies are inferred from the claim text.