Leveraging user itinerary to improve personalized deep matching at Fliggy.
- Published in:
- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 1065, doi. 10.1007/s00778-023-00787-z
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- Publication type:
- Article
Works matching IS 10668888 AND DT 2023 AND VI 32 AND IP 5
Results: 9
1
2
(p,q)-biclique counting and enumeration for large sparse bipartite graphs.
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- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 1137, doi. 10.1007/s00778-023-00786-0
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- Article
3
DynQ: a dynamic query engine with query-reuse capabilities embedded in a polyglot runtime.
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- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 1111, doi. 10.1007/s00778-023-00784-2
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- Publication type:
- Article
4
Sliding window-based approximate triangle counting with bounded memory usage.
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- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 1087, doi. 10.1007/s00778-023-00783-3
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- Publication type:
- Article
5
Butterfly counting and bitruss decomposition on uncertain bipartite graphs.
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- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 1013, doi. 10.1007/s00778-023-00782-4
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- Publication type:
- Article
6
Learned sketch for subgraph counting: a holistic approach.
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- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 937, doi. 10.1007/s00778-023-00781-5
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- Publication type:
- Article
7
Exploiting domain knowledge to address class imbalance and a heterogeneous feature space in multi-class classification.
- Published in:
- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 1037, doi. 10.1007/s00778-023-00780-6
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- Publication type:
- Article
8
Survey of window types for aggregation in stream processing systems.
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- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 985, doi. 10.1007/s00778-022-00778-6
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- Publication type:
- Article
9
Augmented lineage: traceability of data analysis including complex UDF processing.
- Published in:
- VLDB Journal International Journal on Very Large Data Bases, 2023, v. 32, n. 5, p. 963, doi. 10.1007/s00778-022-00769-7
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- Publication type:
- Article