L
Lawrence Catchpole
Publications - 3
Citations - 410
Lawrence Catchpole is an academic researcher. The author has contributed to research in topics: Content inventory & Session ID. The author has an hindex of 1, co-authored 3 publications receiving 410 citations.
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Patent
Web session collaboration
Lawrence Catchpole,Joseph K. Vossen,Eugene S. Briski,Jeffrey S. Barber,Andrew Gingher,Michael Stittleburg +5 more
TL;DR: In this paper, a method of monitoring browser interactions with a server arrangement includes: capturing information regarding requests and corresponding responses; identifying sessions, each session including requests received at the server arrangement and corresponding response; assigning a session identification (SessionID) for each identified session; recording in a database the SessionID, the content of each respective request in the session, each corresponding response, and a chronological order of the requests; and re-creating selected pages representative of a particular browser's interactions and identifying browsing patterns.
Patent
Systems and methods for selecting television content inventory
TL;DR: In this paper, a traffic system schedule indicative of planned television programming and historical television programming by the traffic system server is used to identify the future most ad in the ad inventory representing an end of the first future time period, and determining that a correlation between a previous traffic-system schedule portion selected from the historical TV programming and the planned TV programming meets an inventory prediction threshold.
Patent
Systems and methods for selecting television content inventory and predicting available inventory
TL;DR: In this paper, a traffic system schedule indicative of planned television programming and historical television programming by the traffic system server is used to identify the future most ad in the ad inventory representing an end of the first future time period, and determining that a correlation between a previous traffic-system schedule portion selected from the historical TV programming and the planned TV programming meets an inventory prediction threshold.