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TeRec: A Temporal Recommender System Over Tweet Stream

Summary: TeRec extends online ranking for temporal, rapidly shifting interests and hashtag popularity in tweet streams. It jointly supports real-time topic recommendation and immediate user feedback through a browser client and streaming backend, improving temporal recommendation accuracy. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10774
Venue
VLDB
Year
2013
Pagerank
5.2004234e-05
Overall Rank
9,888 | 32.16%
DOI
10.14778/2536274.2536301

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chen_vldb13,
        title = {{TeRec: A Temporal Recommender System Over Tweet Stream}},
        author = {Chen, Chen and Yin, Hongzhi and Yao, Junjie and Cui, Bin},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {12},
        pages = {1254--1265},
        doi = {10.14778/2536274.2536301},
        url = {https://doi.org/10.14778/2536274.2536301},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

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

Rank Cited Paper Year Venue Pagerank
2,929 StreamRec: A Real-Time Recommender System 2011 SIGMOD 7.9525409e-05
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