78 results about "Clickstream" patented technology

The system of the present invention provides systems and methods for selling goods and services on, over, through, and in conjunction with the Internet. The system receives session (clickstream) information on a customer's website session from the enterprise's website and may also receive customer information on the customer from the enterprise's CRM or eCRM system. The session information referred to comprises the goods or services the customer is searching and metadata about such search and the relevant products, such as the surfing pattern itself. The system determines from the received information, based on the interaction between matching rules created using the system by the enterprise and the system's matching engine, whether the customer is a candidate for assistance from a sales associate. The system creates and indexes information on available sales associates and their performance, selling capabilities and product expertise. The system further matches the customer with at least one sales associate, ideally the most appropriate sales associate, based on the customer, session, and sales profile associate information, and facilitates communication between the sales associate and the customer. Additionally, the system provides information on the customer, products or services the customer is interested in, and the collateral sales materials (both internal and external to the enterprise) and selling techniques to the sales associate based on the particular sales opportunity. The system facilitates communication between the sales associate and the customer on the basis of chat, voice over IP, email and the public switched telephone network, including the concept of bridging a chat session into a PSTN conference call during which call the sales associate and customer maintain a co-browsing session with regard to the opportunity over the Internet.

The present invention provides for the detection of abnormal user behavior for a query session of an electronic search engine. A query session is initiated upon receipt of a user search request that includes one or more search terms. The search engine, in accordance with known search technology, generates a search results page that includes various hyperlinks, including for example web content hyperlinks, page navigation hyperlinks and advertising hyperlinks. Tracking user activities generates the clickstream associated with the search results page. The present invention determines a probability score for the clickstream and then this score is normalized. A comparison of the normalized probability score with other normalized probability scores for similar query sessions determines of the normalcy of the query session.

A system and method for extracting funnels from at least one input clickstream (CS) representing an ordered path of successively viewed web pages. The invention stores the CS in one or more tree structures in one scan, then traverses each tree structure to identify funnels satisfying input criteria, if any. The input criteria includes depth criteria, width criteria, starting page criteria, and end page criteria.

The present invention is directed to generating audience analytics that includes providing a database containing a plurality of user input pattern profiles representing the group of users of terminal device, in which each user of the group is associated with one of the plurality of user input pattern profiles. A clickstream algorithm, tracking algorithm, neural network, Bayes classifier algorithm, or affinity-day part algorithm can be used to generate the user input pattern profiles. A user input pattern is detected based upon use of the terminal device by the current user and the user input pattern of the current user is dynamically matched with one of the user input pattern profiles contained in the database. The current user is identified based upon dynamic matching of the user input pattern generated by the current user with one of the user input pattern profiles. The present invention processes each user input pattern profile to identify a demographic type. A plurality of biometric behavior models are employed to identify a unique demographic type. Each user input pattern profile is compared against the plurality of biometric behavior models to match each user input pattern profile with one of the biometric behavior models such that each user input pattern profile is correlated with one demographic type. Audience analytics are then based upon the identified demographic types.