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AIC Seminar Series

Personal Eyes: a Search Add-on That Learns to Find What You Need

Armand PrieditisLookAhead Decisions, Inc.[Home Page]

Notice:  hosted by Jeffrey Davitz

Date:  2006-10-31 at 16:00

Location:  EJ228  (Directions)


Sometimes you don’t know the right search terms to use, but you know it when you’ve found the right web page. This talk describes Personal Eyes, a search add-on that learns to find what you need without you having to know the right search terms. Personal Eyes learns and combines item-based and user-based profiles to produce personalized search results. An item-based profile uses web-page features such as tags, words, hierarchy (e.g. from Google Base), user ratings, and image coefficients. Personal Eyes learns this profile for each user’s interests and uses it to retrieve web pages with similar features. This allows it to also retrieve based on contrary patterns (e.g. any page that Bob does not like, I might like). A user-based profile is based on user features such as age, sex, income, zip code, and web page interests. This allows Personal Eyes to make surprising connections between seemingly disparate web sites by leveraging the idea that users who share some demographics and interests are likely to share others interests. This can be particularly powerful in social networks such as Personal Eyes uses the strengths of one profiling method to fill in the weaknesses of the other to better find what you need.

   Bio for Armand Prieditis

Dr. Prieditis is CEO and President of LookAhead Decisions Incorporated, a company that produces software for real-time decision-making and machine learning applications in animation, healthcare, manufacturing, networks, and material handling. Prior to that Dr. Prieditis was CEO of Unconventional Wisdom, a company that produced adaptive software for search engines, and a professor in the Computer Science department at the University of California-Davis.

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