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Chapter and Conference Paper
Aggregate Reverse Rank Queries
Recently, reverse rank queries have attracted significant research interest. They have real-life applicability, such as in marketing analysis and product placement. Reverse k-ranks queries return users (prefer...
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Chapter and Conference Paper
Efficient Processing of Aggregate Reverse Rank Queries
Given two data sets of user preferences and product attributes in addition to a set of query products, the aggregate reverse rank (ARR) query returns top-k users who regard the given query products as the high...
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Chapter
Bound-and-Filter Framework for Aggregate Reverse Rank Queries
Finding top-rank products based on a given user’s preference is a user-view rank model that helps users to find their desired products. Recently, another query processing problem named reverse rank query has a...
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Chapter and Conference Paper
NGNC: A Flexible and Efficient Framework for Error-Tolerant Query Autocompletion
Query autocompletion (QAC) is an important feature that automatically completes a query and saves users’ keystrokes. It has been widely adopted in Web search engines, desktop search, input method editors, etc....