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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...

    Yuyang Dong, Hanxiong Chen, Kazutaka Furuse in Database and Expert Systems Applications (2016)

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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...

    Yuyang Dong, Hanxiong Chen, Kazutaka Furuse in Database and Expert Systems Applications (2017)

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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...

    Yuyang Dong, Hanxiong Chen, Kazutaka Furuse in Transactions on Large-Scale Data- and Know… (2018)

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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....

    Yukai Miao, Jianbin Qin, Sheng Hu in Software Foundations for Data Interoperabi… (2020)

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    Article

    Continuous top-k spatial–keyword search on dynamic objects

    As the popularity of SNS- and GPS-equipped mobile devices rapidly grows, numerous location-based applications have emerged. A common scenario is that a large number of users change location and interests from ...

    Yuyang Dong, Chuan **ao, Hanxiong Chen, Jeffrey Xu Yu, Kunihiro Takeoka in The VLDB Journal (2021)