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TI: An Efficient Indexing Mechanism for Real-Time Search on Tweets

Summary: Adaptive TI index selectively indexes tweets likely to appear in search, delaying others to cut indexing cost. Topic-based grouping and dynamic ranking from user-tweet relationships enable scalable real-time search on large microblog datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4482
Venue
SIGMOD
Year
2011
Pagerank
5.5039566e-05
Overall Rank
8,033 | 44.89%
DOI
10.1145/1989323.1989391

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod11,
        title = {{TI: An Efficient Indexing Mechanism for Real-Time Search on Tweets}},
        author = {Chen, Chun and Li, Feng and Ooi, Beng Chin and Wu, Sai},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989391},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989391},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
12,049 Microblogs Data Management Systems: Querying, Analysis, and Visualization 2016 SIGMOD 5.093636e-05
12,262 Mobility and Social Networking: A Data Management Perspective 2013 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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