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6618 results about "Crowds" patented technology

Crowds is a proposed anonymity network for anonymous web browsing. The main idea behind Crowds anonymity protocol is to hide each user's communications by routing them randomly within a group of similar users. Neither the collaborating group members nor the end receiver can therefore be sure where in the group the packet originated. Crowds was designed by Michael K. Reiter and Aviel D. Rubin. It defends against internal attackers and a corrupt receiver, but provides no anonymity against a global attacker or a local eavesdropper (see "Crowds: Anonymity For Web Transactions"). Crowds is vulnerable to the predecessor attack; this was discussed in Reiter and Rubin's paper and further expanded in "The Predecessor Attack: An Analysis of a Threat to Anonymous Communications Systems" by Matthew K. Wright, Micah Adler, And Brian Neil Levine. Crowds introduced the concept of users blending into a crowd of computers.

Method of facial coding monitoring for the purpose of gauging the impact and appeal of commercially-related stimuli

InactiveUS7113916B1Market predictionsImpact scoreCrowds
A method of assessing consumer reaction to a marketing stimulus, involving the steps of (a) exposing a sample population to a marketing stimulus for a period of time, (b) interviewing members of the sample population immediately after exposure of the members to the marketing stimulus, (c) videotaping any facial expressions and associated verbal comments of individual members of the sample population during the exposure period and interview, (d) reviewing the videotaped facial expressions and associated verbal comments of individual members of the sample population to (1) detect the occurrence of action units, (2) detect the occurrence of a smile, (3) categorize any detected smile as duchenne or social smile, (4) detect the occurrence of any verbal comment associated with a detected smile, and (5) categorize any associated verbal comment as positive, neutral or negative, (e) coding a single action unit or combination of action units to a coded unit, (f) associating coded units with any contemporaneously detected smile, (g) translating the coded unit to a scored unit, (h) tallying the scored unit by scoring unit category, (i) repeating steps (d) through (h) throughout the exposure period, (j) repeating steps (d) through (h) for a plurality of the members of the sample population, (k) calculating an impact value for each scoring unit category by multiplying the tallied number of scored units for each scoring unit category by a predetermined impact factor for that scoring unit category, (l) calculating an appeal value for each scoring unit category by multiplying the tallied number of scored units for each scoring unit category by a predetermined appeal factor for that scoring unit category, (m) combining the impact values obtained for each scoring unit category to obtain an impact score, (n) combining the appeal values obtained for each scoring unit category to obtain an appeal score, and (o) representing the appeal and impact scores with an identification of the corresponding marketing stimulus to which the members were exposed.
Owner:SENSORY LOGIC

Medical risk assessment system and method

A method of assessing risk for an individual to experience a specific outcome within a disease entity within a specified time frame is provided. Peer-reviewed scientific publications are analyzed to identify pertinent risk factors (212) for developing disease processes and their possible complications. Information that characterizes an individual (218) in relation to the identified risk factors is then received, preferably responsive to question (224) regarding any demographic values of an individual under test and questions regarding medical chracterisitics of the individual under test. An estimate of risk of the individual acquiring the outcome within a specified time frame is performed based on the identified plurality of risk factors (212). Assessment of medical risk and condition may include analyzing peer-reviewed scientific publications to identify populations affected by a medical outcome and for each population respective risk factors that affect risk of acquiring the medical outcome within a specified time-frame, associating an individual with one of the identified population, identifying information that characterizes the individual (218) in relation to the respective risk factors other associated population, and estimating risk of the individual having the medical outcome within the specified the time frame responsive to the identified information. Promotion of business on a site of a computer network is provided by supplying an on-line questionnaire (224) regarding characteristics of individual (218) under test, receiving information regarding characteristics of the individual under test, and responsive to the received information, providing an assessment of the individual under test having a medical outcome within a specified time frame.
Owner:HOHNLOSER JOERG

Method and device for analyzing user behavior data

The embodiment of the invention discloses a method and a device for analyzing user behavior data. The method and the device are used for accurately analyzing user behavior and improving the pertinence of advertisement push objects. The method in the embodiment of the invention comprises the following steps: acquiring behavior data generated in a data source after users are registered to the data source, wherein the data source comprises respective behavior data generated by all users which are registered into the data source, and the behavior data are data information for recording the behavior of the users in the data source; extracting user tags from the behavior data generated on the data source by the users, wherein the user tags are information for characterizing the behaviors of the users; acquiring preset directional features of the population, wherein the directional features of the population are features endowed by the population meeting the requirements on directional features; extracting target user population according with the directional features of the population from all users in the data source according to the behavior data generated on the data source by the users and the user tags, wherein the target user population comprises multiple users according with the directional features of the population.
Owner:SHENZHEN TENCENT COMP SYST CO LTD
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