Spam detection for user-generated multimedia items based on keyword stuffing
AssigneeGoogle Inc.
InventorsVarun Kacholia, Ashutosh Garg, David Stoutamire
Life of this patent
Estimating the term…
Abstract
A system, a method, and various software tools enable a video hosting website to automatically identify posted video items that contain spam in the metadata associated with a respective video item. A spam detection tool for user-generated video items based on keyword stuffing is provided that facilitates the detection of spam in the metadata associated with a video item.
Claims14
A computer-implemented method for spam detection in a collection of multimedia items, comprising:
- storing the collection of multimedia items in a memory of a computer system, each multimedia item including a description of the item, the description including a plurality of tokens;
- and
- for at least one multimedia item:
- selecting a plurality of portions of the description of the item and for each selected portion counting a total number of unique tokens in the selected portion, wherein unique tokens appearing more than once in the selected portion are counted only once;
- determining a distribution of unique tokens for the multimedia item using the total number of unique tokens in each selected portion of the multimedia item;
- and
- responsive to the distribution of unique tokens exceeding a distribution threshold, marking the multimedia item for a future spam filtering action.
A non-transitory computer readable storage medium containing program code for spam detection in a collection of multimedia items, the program code comprising code for:
- storing the collection of multimedia items, each multimedia item including a description of the item, the description including a plurality of tokens;
- and
- for at least one multimedia item:
- selecting a plurality of portions of the description of the item and for each selected portion counting a total number of unique tokens in the selected portion, wherein unique tokens appearing more than once in the selected portion are counted only once;
- determining a distribution of unique tokens for the multimedia item using the total number of unique tokens in each selected portion of the multimedia item;
- and
- responsive to the distribution of unique tokens exceeding a distribution threshold, marking the multimedia item for a future spam filtering action.
Dependencies are inferred from the claim text.