Data services leveraging Bing's data assets

By Kaushik Chakrabarti, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, Yeye He. 2016

26 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Alon Y. Halevy
2. Jayant Madhavan
3. Michael J. Cafarella
4. Yihan Gao
5. Aditya G. Parameswaran
6. Cong Yu
7. Silu Huang
8. Eugene Wu

Citations in the corpus

• A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective (2018, neutral): “Searching Data Lake [19], [20], [21], [22], [23] Web [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34]”
• Ten Years of WebTables (2018, methodology): “However, this approach may not be sufficient for several important classes of search queries, encountered by Chakrabarti, et al. when deploying a web table service on the Bing search engine [9].”
• Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets (2017, methodology): “Once we have structured these datasets, we can then infer relationships across datasets, and put them to use to aid analysis, search, or browsing [9, 10, 17, 32, 40, 48, 49, 51].”