Kevin J. O'connor

Bio: Kevin J. O'connor is an academic researcher from Google. The author has contributed to research in topics: The Internet & User identifier. The author has an hindex of 3, co-authored 3 publications receiving 3051 citations.

Method of delivery, targeting, and measuring advertising over networks

Abstract: Methods and apparatuses for targeting the delivery of advertisements over a network such as the Internet are disclosed. Statistics are compiled on individual users and networks and the use of the advertisements is tracked to permit targeting of the advertisements of individual users. In response to requests from affiliated sites, an advertising server transmits to people accessing the page of a site an appropriate one of the advertisement based upon profiling of users and networks.

Method and apparatus for automatic placement of advertising

Abstract: A computer system for automatic replacement of direct advertisements in scarce media includes an advertising server for selecting a direct advertisement based on certain criteria. Transaction results of the direct advertisement placement are reported back to the advertising server, and an associated accounting system. In one embodiment, the direct advertiser's server reports transactions back to the advertising server by email. In a second embodiment, a direct proxy server brokers the user's session (or interaction) with the direct advertiser's server, including transaction processing and the direct proxy server reports the results of transactions back to the advertising server and its associated accounting system. A direct proxy provides an independent audit of transactions at a remote direct advertiser's web site. The feedback of the results of direct advertisement transactions provides an efficient utilization of direct advertising space by way of an automated computer system with a predictive model for selection and distribution of direct advertising.

Network for distribution of re-targeted advertising

Abstract: A computer system for automatic replacement of advertisements includes an advertising server for selecting an advertisement based on criteria related to the individual viewer. In particular, advertisements are selected for a given user, based on the past behavior of that specific given user. Advertiser web sites on the network are configured to anonymously report back user activity such as visit dates, purchases, specific product pages visited and the like. Alternative reporting embodiments include email, file transfer protocol and spotlight tags. User activity lists are processed to select candidates for re-targeting. Candidates for re-targeted advertisements are identified based on their own individual past activity, and stored in a list of candidate user ID's. When a candidate on the re-targeted list is identified at any network affiliate web site, a re-targeted advertisement is delivered to the candidate user.

Method of delivery, targeting, and measuring advertising over networks

Abstract: Methods and apparatuses for targeting the delivery of advertisements over a network such as the Internet are disclosed. Statistics are compiled on individual users and networks and the use of the advertisements is tracked to permit targeting of the advertisements of individual users. In response to requests from affiliated sites, an advertising server transmits to people accessing the page of a site an appropriate one of the advertisement based upon profiling of users and networks.

Improved system and method for influencing a position on a search result list generated by a computer network search engine

Abstract: A method for providing a search result list. The method includes receiving a search request from a searcher (12). In a database of search listings (24) in which each search listing is associated with an advertiser (30) and includes at least one search term and a bid amount by the advertiser, search listings generating a match with the search request are identified. A predetermined number of identified search listings (38) are selected according to bid amount for display to the searcher (16). The identified search listings are arranged for display in a random order as the search result list. The search result list is then communicated to the searcher.

System and method for scheduling broadcast of and access to video programs and other data using customer profiles

Abstract: A system and method for scheduling the receipt of desired movies and other forms of data from a network which simultaneously distributes many sources of such data to many customers, as in a cable television system. Customer profiles are developed for the recipient describing how important certain characteristics of the broadcast video program, movie or other data are to each customer. From these profiles, an 'agreement matrix' (908) is calculated by comparing the recipient's profiles to the actual profiles of the characteristics of the available video programs, movies, or other data. The agreement matrix (908) thus characterizes the attractiveness of each video program, movie, or other data to each prospective customer. 'Virtual' channels are generated from the agreement matrix (908) to produce a series of video or data programming which will provide the greatest satisfaction to each customer. Feedback paths (1020, 1024) are also provided so that the customer's profiles and/or the profiles of the video programs or other data may be modified to reflect actual usage, and so that the data downloaded to the customer's set top terminal (620) may be minimized. Kiosks (figure 11) are also developed which assist customers in the selection of videos, music, books, and the like in accordance with the customer's objective profiles.

System and method for providing shopping aids and incentives to customers through a computer network

Abstract: A system and method for delivering purchasing incentives and a variety of other retail shopping aids through a computer network, such as by E-mail over the Internet or the World Wide Web. Customers (10) of retail stores can establish a bi-directional communication link with the system, log in (16) to the system, and then elect to browse among available purchasing incentive offers (18, 22), or elect to explore other shopping aids, such as a shopping list generator (26), a recipe center (30), or simply elect to claim a product rebate or to receive product information. If the customer elects to have product information or rebate information delivered, only minimal customer identification is required. For purchase incentives redeemable at retail stores, the customer must provide identification information and must also designate a retailer (12) at which the purchasing incentive can be exercised. For receipt of focused incentives based the customer's past shopping behavior, the customer must also supply a unique customer id., such as a check cashing card number or credit card number, used for in-store purchases. For delivery of a product sample, the customer's name and address must be supplied. The system merges this customer-supplied information (270) with other purchase incentive data (272) and creates a printable graphical image of the purchasing incentive (282) for transmission to the customer. In an alternate embodiment of the invention, the purchase incentive is not transmitted directly to the customer. Instead, the terms of the incentive are transmitted electronically to the retail store (310) designated by the customer, who receives either a token (316) to present at the store or an advisory message. In yet another embodiment of the invention, incentives may be targeted to specific consumers based on a consumer purchase history (502), and transmitted to consumers' computers (510) using electronic mail addresses stored in a consumer database (506).

Adaptive pattern recognition based control system and method

Abstract: An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context. The apparatus receives an input from the user and other data. A predicted input is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback. Also provided is a pattern recognition system for a multimedia device, wherein a user input is matched to a video stream on a conceptual basis, allowing inexact programming of a multimedia device. The system analyzes a data stream for correspondence with a data pattern for processing and storage. The data stream is subjected to adaptive pattern recognition to extract features of interest to provide a highly compressed representation that may be efficiently processed to determine correspondence. Applications of the interface and system include a video cassette recorder (VCR), medical device, vehicle control system, audio device, environmental control system, securities trading terminal, and smart house. The system optionally includes an actuator for effecting the environment of operation, allowing closed-loop feedback operation and automated learning.