International Business Machines Corporation

Claudia Keser

Pankaj Rohatgi

Josyula R Rao

Pau-Chen Cheng

Tomasz J Nowicki

Grzegorz Michal Swirszcz

William Tulskie

Systems and methods are provided to manage risk associated with access to information within a given organization. The overall risk tolerance for the organization is determined and allocated among a plurality of subjects within the organization. Allocation is accomplished using either a centralized, request/response or free market mechanism. As requested from subjects within the organization for access to objects, i.e. information and data, are received, the amount of risk or risk level associated with each requested is quantified. Risk quantification can be accomplished using, for example, fuzzy multi-level security. The quantified risk associated with the access request in combination with the identity of the object and the identity of the subject are used to determine whether or not the request should be granted, denied or granted with appropriated mitigation measures.

Risk adaptive information flow based access control

A method of eliciting customer preferences includes establishing a computer-enabled facility accessible to the target audience of participants, determining features to collect bets on, determining which participants may register, determining a betting period, determining betting rules, determining how to decide winners and prizes, registering the participants participation using the website, instructing the participants about procedures of abetting game and list of possible product features, betting, by the participants, on the product features the participants think will be preferred by the general public, determining whether an end of the betting period has been reached, determining, at the end of the betting period, average bets for each of the product features, predicting average customer preferences based on the average bets, determining a score of each participant who made bets, determining which of the participants has a best score, and using resulting preference information for production planning.

Customer preference elicitation based on a web-enabled betting game

The present invention provides a system and method for determining the prices and order quantities that maximize a retailer's expected profit by using a multi-dimensional distribution of the highest prices that customers are willing to pay. This is novel, as well in the literature as in the patent database. Brand switching is dealt with, taking into account that consumers who come into the store with a-priori preferences for products build a-posteriori preferences at the point of purchase based on actual retail prices and availabilities in the store.

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Yorktown Heights, NY, United States of America

Claudia Keser