System, method and computer program product for predicting a next hop in a search path
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United States of America
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Apr 1, 2025
Grant Date -
Jun 6, 2024
app pub date -
Jan 23, 2024
filing date -
Jan 23, 2024
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Abstract
A system, method, and computer program product for identifying consumer items more likely to be bought by an individual user. In some embodiments, a collaborative filter may be used to rank items based on the degree to which they match user preferences. The collaborative filter may be hierarchical and may take various factors into consideration. Example factors may include the similarity among items based on observable features, a summary of aggregate online search behavior across multiple users, the item features determined to be most important to the individual user, and a baseline item against which a conditional probability of another item being selected is measured.
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