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 |
20090094311 | System and Method for Detecting Internet Bots - Apparatuses, methods, and systems directed to detect Internet bots in communication networks. Some embodiments of the invention allow an agent of a server to detect human interaction events on a client system. In other particular embodiments, the systems and methods disclosed below can be used to detect bots using server logs. In some other embodiments, the present invention involves sending an agent to a client system and polling the agent on whether human interaction events are detected on the client system. | 04-09-2009 |
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 |
20100005040 | FORECASTING ASSOCIATION RULES ACROSS USER ENGAGEMENT LEVELS - A method of determining one or more association rules includes: specifying site-sequence values for users, wherein each user is identified with one of a plurality of engagement levels, and the site-sequence values indicate a sequence from a first site to a second site for at least one user identified with a corresponding engagement level; determining cumulative site-sequence values from the site-sequence values for combinations of pairs of sites and distinct engagement levels; determining likelihood values from the cumulative site-sequence values, wherein the likelihood values characterize probabilities for sequences between sites at distinct engagement levels; determining one or more association rules for pairs of sites from one or more corresponding likelihood values at one or more engagement levels, wherein each association rule indicates a sequential association between a corresponding pair of sites; determining one or more confidence values for the one or more association rules by calculating one or more variations of the likelihood values across the engagement levels; and saving one or more values for the one or more associations rules (e.g., likelihood values or confidence values). | 01-07-2010 |
20100036809 | TRACKING MARKET-SHARE TRENDS BASED ON USER ACTIVITY - A method of determining market-share trends includes: specifying values for switching between pairs of search tools for a user; determining values for a transition matrix between the search tools from the switching values; determining steady-state values from the transition matrix for characterizing a steady state arising from a sequential operation of the transition matrix, wherein the steady-state values characterize market-share trends for the search tools; and saving one or more values for the steady state values. | 02-11-2010 |
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 |
20130103474 | DETERMINING A VALUE FOR A COUPON - Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor. | 04-25-2013 |
20130179239 | GENERATING A SCORE FOR A COUPON CAMPAIGN - Techniques are provided for generating, by a coupon distributor, a score that represents a quality of a coupon campaign that a coupon provider offers to the coupon distributor. The score may be generated based on the brand of the product, the product category to which the product belongs, the coupon value, and the percentage discount reflected by the coupon. One or more of these factors may be based on historical data that indicates the success (or failure) of previous coupon campaigns (e.g., of the same product, brand, and/or product category, and/or similar coupon value). The coupon distributor uses the score to, e.g., determine whether to accept a proposed coupon campaign, project the number of prints/redemptions of the coupon campaign, determine how to present the coupon, determine an amount to charge for running the coupon campaign, and/or determine products or product categories of coupons to which the coupon distributor should seek. | 07-11-2013 |
20140074649 | GROCERY RECOMMENDATION ENGINE - State-based approaches, techniques, and mechanisms are disclosed for recommending items to a user. A method comprises detecting a user state, from a plurality of different enumerated user states, based on items that the user recently selected, and/or location data. Based upon the detected user state, a particular algorithm, from a plurality of algorithms, is selected for recommending items. Information about the recommended items is presented to the user. Responsive to presenting the information about the recommended items, input is received selecting one or more of the recommended items for at least one of: adding to a shopping list, or requesting a coupon. Examples of possible detected user states include a recipe state, a grocery shopping state, and a quick shopping-run state. In an embodiment, state detection occurs at a client device, such as a smartphone featuring a shopping list management application or coupon application. A server-side recommendation engine provides recommendations. | 03-13-2014 |
20140114732 | GENERATING A SCORE FOR A COUPON CAMPAIGN - Techniques are provided for generating, by a coupon distributor, a score that represents a quality of a coupon campaign that a coupon provider offers to the coupon distributor. The score may be generated based on the brand of the product, the product category to which the product belongs, the coupon value, and the percentage discount reflected by the coupon. One or more of these factors may be based on historical data that indicates the success (or failure) of previous coupon campaigns (e.g., of the same product, brand, and/or product category, and/or similar coupon value). The coupon distributor uses the score to, e.g., determine whether to accept a proposed coupon campaign, project the number of prints/redemptions of the coupon campaign, determine how to present the coupon, determine an amount to charge for running the coupon campaign, and/or determine products or product categories of coupons to which the coupon distributor should seek. | 04-24-2014 |
20140114734 | DETERMINING A VALUE FOR A COUPON - Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor. | 04-24-2014 |