QR2: A Third-Party Query Reranking Service over Web Databases

The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better ranking mechanisms, in practice, many such databases fail to address the diverse and sometimes contradicting preferences of users. In this pa...

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Bibliographic Details
Published in:	2018 IEEE 34th International Conference on Data Engineering (ICDE) pp. 1653 - 1656
Main Authors:	Durairaj Gunasekaran, Yeshwanth, Asudeh, Abolfazl, Hasani, Sona, Nan Zhang, Jaoua, Ali, Das, Gautam
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-04-2018
Subjects:	Clustering algorithms Diamond Indexing Parallel processing Query processing Query Re ranking Third party Service Top K User interfaces Web Databases
Online Access:	Get full text
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Summary:	The ranked retrieval model has rapidly become the de-facto way for search query processing in web databases. Despite the extensive efforts on designing better ranking mechanisms, in practice, many such databases fail to address the diverse and sometimes contradicting preferences of users. In this paper, we present QR2, a third-party service that uses nothing but the public search interface of a web database and enables the on-the-fly processing of queries with any user-specified ranking functions, no matter if the ranking function is supported by the database or not.
ISSN:	2375-026X
DOI:	10.1109/ICDE.2018.00199