1446 results about "Relevance analysis" patented technology

A technique for evaluating fraud risk in e-commerce transactions between consumer and a merchant is disclosed. The merchant requests service from the system using a secure, open messaging protocol. An e-commerce transaction or electronic purchase order is received from the merchant, the level of risk associated with each order is measured, and a risk score is returned. In one embodiment, data validation, highly predictive artificial intelligence pattern matching, network data aggregation and negative file checks are used. The system performs analysis including data integrity checks and correlation analyses based on characteristics of the transaction. Other analysis includes comparison of the current transaction against known fraudulent transactions, and a search of a transaction history database to identify abnormal patterns, name and address changes, and defrauders. In one alternative, scoring algorithms are refined through use of a closed-loop risk modeling process enabling the service to adapt to new or changing fraud patterns.

Computer-implemented methods are described for, first, characterizing a specific category of information content—pornography, for example—and then accurately identifying instances of that category of content within a real-time media stream, such as a web page, e-mail or other digital dataset. This content-recognition technology enables a new class of highly scalable applications to manage such content, including filtering, classifying, prioritizing, tracking, etc. An illustrative application of the invention is a software product for use in conjunction with web-browser client software for screening access to web pages that contain pornography or other potentially harmful or offensive content. A target attribute set of regular expression, such as natural language words and / or phrases, is formed by statistical analysis of a number of samples of datasets characterized as “containing,” and another set of samples characterized as “not containing,” the selected category of information content. This list of expressions is refined by applying correlation analysis to the samples or “training data.” Neural-network feed-forward techniques are then applied, again using a substantial training dataset, for adaptively assigning relative weights to each of the expressions in the target attribute set, thereby forming an awaited list that is highly predictive of the information content category of interest.

The present invention discloses a managing method for instant communication conversation records, which aims at solving the prior problems that inquiring information in the conversation records is not only fussy but also inefficiency for instant communicating users. The method comprises the following steps: getting and assorting the conversation records of users to get sample groups; correlating analyzing each sample group to get a corresponding assorted group that contains eigenvector corresponding with the conversation records in the sample groups; determining the conversation topic corresponding with the assorted group according to the emerging frequency of the words in the assorted groups, and relating the conversation topic to the conversation records corresponding with the assorted group; searching for the conversation topic that matches with the key word inputted by the users, and displaying the conversation records that relates with the conversation topic to the users. The present invention also discloses a managing device used for instant communication conversation records.