Determining the Credibility of an On-Line User's Review
OwnerTodd King, Tony Tateossian +1inventors
InventorsTodd King, Tony Tateossian, Steve Tateossian
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Abstract
Novel systems and methods are disclosed for obtaining information pertinent to an on-line user's review, evaluating the information to determine the trustworthiness of the review, and generating an output indicating the trustworthiness of the review. The review may be in written form, spoken form, or multimedia form including overlapping visual and spoken forms. The output may be in the form of a multi-dimensional space that is compared to shape models for trust and truthfulness.
Claims19
A method for evaluating the trustworthiness of an on-line review comprising:
- acquiring an identifier for an item that is the subject of a review;
- obtaining information pertinent to the identifier from a plurality of sources;
- evaluating the obtained information to determine the trustworthiness of the review;
- and
- generating an output indicating the trustworthiness of the review.
A system for evaluating the trustworthiness of an on-line review comprising:
- a user interface for receiving an identifier for an item that is the subject of a review, the identifier being unique to the item;
- a communication interface for communicating with a plurality of information sources;
- and
- a processor for:
- submitting a query to at least one of the plurality of sources via the communication interface, the query including a request for information pertinent to the identifier;
- receiving requested information about the identifier;
- evaluating the requested information;
- and
- generating an output indicating the trustworthiness of the review.
A method for determining the quality of an on-line user review comprising:
- determining the form of an on-line review of an item, the review being in one of a written form, a spoken form, or a multimedia form including overlapping visual and spoken forms;
- analyzing the review according to the form of the review wherein:
- the review is subjected to a lexicographic analysis if in written form;
- the review is subjected to a voice analysis if in spoken form;
- the review is subjected to facial expression analysis and voice analysis if in multimedia form;
- and
- generating an output on a fixed scale indicating the quality of the review.
Dependencies are inferred from the claim text.