“Tom is a visionary, and effective leader who values his team. You can definitely rely on Tom to be objective when it comes to business decisions. Perhaps one of his best traits is his ability to give direction and an overall strategy into the business. He is articulate and able to break down the complex issues to provide a set of clear business requirements as he developed and improved the Destination Merchandising business at Expedia. Tom is great collaborator and provides an insightful perspective that helped the team solve complex problems and typically used data to inform these decisions. He always provides constructive feedback to insure the end product would not only meet the need of his team but would also satisfy the needs of partners from the respective hotel regions. I would recommend anyone to work with him in their future career endeavors.”
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Diversity of experience leading Strategic Partnership, Sales and Marketing teams in both…
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LinkedIn - Please allow us to add Comments to our Connections At this moment in my life, I am shedding stuff. Clothes to Goodwill, gifting games to…
LinkedIn - Please allow us to add Comments to our Connections At this moment in my life, I am shedding stuff. Clothes to Goodwill, gifting games to…
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Members of the Knack team have been busy in Dublin, OH, this week, attending the 2024 Memorial Golf Tournament with many of our customers, partners…
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ADAPT's Data & AI Edge conference was abuzz. I've never known a time when technology was so far ahead of business. Take Aways: 1. We are all…
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System and method for measuring and improving search result relevance based on user satisfaction
Issued US 7526470
Systems and methods for measuring and improving search result relevance based on user satisfaction are disclosed. An event log is preferably scanned to determine the start and the end of a session. User behaviors within the session are preferably identified. User satisfaction is preferably estimated based on the user behaviors. User satisfaction is preferably a measure of the user's perception of the extent to which a result correlates to his intent based on his behaviors. User satisfaction is…
Systems and methods for measuring and improving search result relevance based on user satisfaction are disclosed. An event log is preferably scanned to determine the start and the end of a session. User behaviors within the session are preferably identified. User satisfaction is preferably estimated based on the user behaviors. User satisfaction is preferably a measure of the user's perception of the extent to which a result correlates to his intent based on his behaviors. User satisfaction is preferably estimated to be one of three satisfaction levels: satisfied, partially-satisfied, and dissatisfied. Symptoms, which are indications of a need for improvement within a search system, are preferably observed based on the user behaviors and the user satisfaction. Diagnostics, which are conditions that prevent a search system from performing optimally, are preferably derived based on the symptoms. A performance report for the search system based, at least in part, on the user satisfaction and the diagnostics may be generated. Such a report may be analyzed to determine methods for improving the relevance of results generated by the search system.
Other inventorsSee patent -
Search System Using User Behavior Data
Issued US 7363282
Context-based user feedback is gathered regarding searches performed on a search mechanism. The search mechanism is monitored for user behavior data regarding an interaction of a user with the search mechanism. The response data provided by the search mechanism is also monitored. Context data (describing the search) and user feedback data (the user's feedback on the search—either explicit or implicit) are determined. This can be used, for example, to evaluate a search mechanism or to check a…
Context-based user feedback is gathered regarding searches performed on a search mechanism. The search mechanism is monitored for user behavior data regarding an interaction of a user with the search mechanism. The response data provided by the search mechanism is also monitored. Context data (describing the search) and user feedback data (the user's feedback on the search—either explicit or implicit) are determined. This can be used, for example, to evaluate a search mechanism or to check a relevance model.
Other inventorsSee patent
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