The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 14, 2012
Filed:
Apr. 10, 2002
Moon Ju Kim, Wappingers Falls, NY (US);
Juan-leon Rodriguez, Pleasant Valley, NY (US);
Yurdaer Nezihi Doganata, Chestnut Ridge, NY (US);
Youssef Drissi, Ossining, NY (US);
Lev Kozakov, Stamford, CT (US);
Moon Ju Kim, Wappingers Falls, NY (US);
Juan-Leon Rodriguez, Pleasant Valley, NY (US);
Yurdaer Nezihi Doganata, Chestnut Ridge, NY (US);
Youssef Drissi, Ossining, NY (US);
Lev Kozakov, Stamford, CT (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
A method, software and apparatus are provided which enable a user to obtain products and services in a manner which counteracts conflicting actions modifying raw ranking data based on merchants interests. For this purpose, an information a user's web browser is provided with modules that modify search results obtained from one or more sources including directly from merchants. When the user enters a set of key words in an entry field in an on-screen form for a web server to obtain a list of items (products and/or services) of interest to the user, the search terms are modified in the users or his agents browser to reflect the interest of the user, his management or his parents. The user or his agent receives ranking information taking the highest ranked products and obtains the product information for the most highly ranked products. The browser then reranks the products using a ranking algorithm preferred by the user that offsets information sources biases in the ranking of the product information. The algorithm adds weighting factors reflecting the modified search terms. The weighting factors are combined with the mentioned ranking mechanisms to the documents to increase the probability that certain items come to the top when the search results are presented to the shopper.