DBScholar

Back to papers

Push Technology Personalization Through Event Correlation

Summary: Amit is a middleware framework that personalizes push technology by correlating heterogeneous event streams into user-defined reactive situations. It supports compositional, cardinality-, temporal-, and content-based conditions, demonstrated through a generic application-development tool and architecture. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8887
Venue
VLDB
Year
2000
Pagerank
5.093636e-05
Overall Rank
12,893 | 11.55%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{adi_vldb00,
        title = {{Push Technology Personalization Through Event Correlation}},
        author = {Adi, Asaf and Botzer, David and Etzion, Opher and Yatzkar-Haham, Tali},
        journal = {PVLDB},
        series = {{VLDB} '00},
        pages = {643},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers