Oracle International Corporation

Kuldip Oberoi

John Ray Thomas

Karan Nayyar

Subash Bhamidipati

Varun Bharti

Uzair Bin Tariq

Vishal Jain

Raj Karpana Alagumalai

Anshuk Pal Chaudhuri

Techniques for generating and presenting search filter recommendations are disclosed. A system determines a composition of search filter tiles, including a relative number of machine learning-generated search filter tiles and non-machine learning-generated search filter tiles, based on recommendation criteria. The recommendation criteria include an amount of user search history data that exists. The system applies search filter recommendation policies to generate a set of search filter recommendations, including hard-coded search filters, search filter recommendations generated by a user-specific machine learning model, search filter recommendations generated by a machine learning model trained on data from multiple different users, and algorithm-based recommendations. The system generates different sets of search filter recommendations made up of different ratios of recommendations from different sources based on determining if search filter criteria are met.

Generating and presenting search filter recommendations

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Milpitas, CA, United States of America

Kuldip Oberoi