Patent application number | Description | Published |
20090055200 | IDENTIFYING AND VALIDATING FACTORS THAT HAVE PARTICULAR EFFECTS ON USER BEHAVIOR - Techniques are described herein for an automatic discovery and validation analyzer that identifies factors that have a particular effect on members of a population in engaging in certain activities. A baseline set and a divergent set of members of the population are identified based on whether a member has experienced a significant change in magnitude of the particular effect during a particular period of time. Differences in behaviors of members of the baseline and divergent sets are then analyzed to identify a candidate factor that corresponds to exposure to an item. Such a candidate factor is then validated as to whether it is a cause of said significant change in magnitude of the particular effect experienced by the divergent set of members. | 02-26-2009 |
20090113288 | CONTENT OPTIMIZATION SYSTEM AND METHOD - Disclosed herein is a statistical approach, a win share approach, used to assign a win share value to content items. User interaction with content items is tracked, and a win share value is assigned to content items in response to a “winning” action performed by a user. Win shares associated with content items are used to identify content items that are to be presented, and can further be used to identify an optimal presentation, e.g., layout, presentation frequency, etc., of content items that is to be presented. | 04-30-2009 |
20090210195 | SIMULATED BUCKET TESTING - The subject matter disclosed herein relates to simulation of bucket testing. | 08-20-2009 |
20100070620 | SYSTEM AND METHOD FOR DETECTING INTERNET BOTS - Apparatuses, methods, and systems directed to detect Internet bots in communication networks. Some embodiments of the present invention allow an agent of a server to periodically record interaction events on a client system. The recorded interaction events are sent to a server and validated by a statistical test. Some embodiments of the present invention may be used to detect bots using server logs. In other embodiments, an agent of a server is able to detect and validate interaction events on a client system and the server periodically polls the agent to determine whether bots are detected on the client system. | 03-18-2010 |
20120041907 | Suggesting Connections to a User Based on an Expected Value of the Suggestion to the Social Networking System - To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users. | 02-16-2012 |
20120166250 | DATA VISUALIZATION FOR TIME-BASED COHORTS - Methods, apparatuses and systems directed to generating heat maps that facilitate analysis of user activity. In particular embodiments, a heat map represents activity intensity of time-based cohort groups over time. | 06-28-2012 |
20130311568 | SUGGESTING CONNECTIONS TO A USER BASED ON AN EXPECTED VALUE OF THE SUGGESTION TO THE SOCIAL NETWORKING SYSTEM - To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users. | 11-21-2013 |
20140289237 | SUGGESTING CONNECTIONS TO USERS WITH LOW ACTIVITY IN A SOCIAL NETWORKING SYSTEM - To suggest new connections to a user of a social networking system, the system generates a set of candidate users to whom the user has not already formed a connection. The system determines the likelihood that the user will connect to each candidate user if suggested to do so, and it also computes the value to the social networking system if the user does connect to the candidate user. Then, the system computes an expected value score for each candidate user based on the corresponding likelihood and the value. The candidate users are ranked and the suggestions are provided to the user based on the candidate users' expected value scores. The social networking system can suggest other actions to a user in addition to forming a new connection with other users. | 09-25-2014 |