# US 2016/0260147 A1 · Determining the Credibility of an On-Line User's Review > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2016/0260147 A1 - Document ID: US20160260147A1 - Status: Published application - Kind: A1 - Application number: 14/638,991 - Filed: 2015-03-04 - Published: 2016-09-08 - Earliest claimed: 2015-03-04 - Inventors: Todd King; Tony Tateossian; Steve Tateossian - Web page: https://patentgrep.com/patent/US20160260147A1 ## CPC - G06Q 30/0609: {Qualifying participants for shopping transactions (payment transaction verification G06Q20/401)} - H04L 63/12: {Applying verification of the received information (cryptographic mechanisms or cryptographic arrangements for data integrity or data verification H04L9/32)} - G10L 15/26: Speech to text systems (G10L15/08 takes precedence) - G10L 17/26: Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices - G10L 25/60: for measuring the quality of voice signals - H04W 12/63: Location-dependent; Proximity-dependent - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## 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. ## Claims ### Claim 1 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. ### Claim 2 (depends on 1) The method according to claim 1, wherein the review is a video review. ### Claim 3 (depends on 2) The method according to claim 2, further comprising transcribing spoken words used during the video, and wherein the evaluating step includes analyzing the lexicon employed for false statement indicators. ### Claim 4 (depends on 2) The method according to claim 2, wherein the evaluating step includes analyzing the cadence of speech used during the video review, vocal expression, or occurrence of speech disfluency. ### Claim 5 (depends on 4) The method according to claim 4, wherein the evaluating step further includes analyzing any eye movement, facial expressions, or body language of the reviewer. ### Claim 6 (depends on 1) The method according to claim 1, wherein the evaluating step includes obtaining the IP address of a reviewer who has purchased an item to determine the approximate location of the reviewer, and further obtaining the approximate location of delivery of the purchased item to compare the reviewer's location to the delivery's location. ### Claim 7 (depends on 1) The method according to claim 1, wherein the generating step involves generating an output in the form of a multi-dimensional space that is compared to shape models for trust and truthfulness. ### Claim 8 (depends on 1) The method according to claim 1, wherein the evaluating step includes weighting information obtained during the obtaining step. ### Claim 9 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. ### Claim 10 (depends on 9) The system according to claim 9, wherein the review is a video review. ### Claim 11 (depends on 10) The system according to claim 10, further comprising transcribing spoken words used during the video, and wherein the processor evaluates the lexicon employed for false statement indicators. ### Claim 12 (depends on 10) The system according to claim 10, wherein the processor evaluates the cadence of speech used during the video review, vocal expression, or occurrence of speech disfluency. ### Claim 13 (depends on 10) The system according to claim 10, wherein the processor evaluates any eye movement, facial expressions, or body language of the reviewer. ### Claim 14 (depends on 9) The system according to claim 9, wherein the requested information includes the IP address of the reviewer and the location of delivery of a purchased item to compare the reviewer's location to the delivery's location. ### Claim 15 (depends on 9) The system according to claim 9, wherein the output is in the form of a multi-dimensional space that is compared to shape models for trust and truthfulness. ### Claim 16 (depends on 9) The system according to claim 9, wherein the processor evaluates the requested information after weighting the requested information. ### Claim 17 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. ### Claim 18 (depends on 17) The method according to claim 17, wherein the item is a service. ### Claim 19 (depends on 18) The method according to claim 18, wherein the output is in the form of a multi-dimensional space that is compared to shape models for trust and truthfulness.