Bo Zhao

Affiliations:
  • Pinterest, San Francisco, CA, USA
  • LinkedIn, Mountain View, CA, USA (former)
  • University of Illinois at Urbana-Champaign, Urbana, IL, USA (former)


According to our database1, Bo Zhao authored at least 37 papers between 2008 and 2023.

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Timeline

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Bibliography

2023
Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval.
Proceedings of the International Conference on Machine Learning, 2023

2022
Every Preference Changes Differently: Neural Multi-Interest Preference Model with Temporal Dynamics for Recommendation.
CoRR, 2022

2020
Deep learning in clinical natural language processing: a methodical review.
J. Am. Medical Informatics Assoc., 2020

Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study.
Proceedings of the AMIA 2020, 2020

2018
Notification Volume Control and Optimization System at Pinterest.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Guess Me if You Can: Acronym Disambiguation for Enterprises.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.
IEEE Trans. Knowl. Data Eng., 2016

Learning Global Term Weights for Content-based Recommender Systems.
Proceedings of the 25th International Conference on World Wide Web, 2016

From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mining Reliable Information from Passively and Actively Crowdsourced Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
A Survey on Truth Discovery.
SIGKDD Explor., 2015

Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective.
Proc. VLDB Endow., 2015

Leveraging Pattern Semantics for Extracting Entities in Enterprises.
Proceedings of the 24th International Conference on World Wide Web, 2015

Modeling Truth Existence in Truth Discovery.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On the Discovery of Evolving Truth.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Leveraging Knowledge Bases for Contextual Entity Exploration.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.
Proc. VLDB Endow., 2014

The wisdom of minority: discovering and targeting the right group of workers for crowdsourcing.
Proceedings of the 23rd International World Wide Web Conference, 2014


Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.
Proceedings of the International Conference on Management of Data, 2014

2013
EventCube: multi-dimensional search and mining of structured and text data.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Truth finding in databases
PhD thesis, 2012

A Bayesian Approach to Discovering Truth from Conflicting Sources for Data Integration.
Proc. VLDB Endow., 2012

2011
Efficient Keyword-Based Search for Top-K Cells in Text Cube.
IEEE Trans. Knowl. Data Eng., 2011

Collective topic modeling for heterogeneous networks.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Probabilistic topic models with biased propagation on heterogeneous information networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

TEXplorer: keyword-based object search and exploration in multidimensional text databases.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Entity relation discovery from web tables and links.
Proceedings of the 19th International Conference on World Wide Web, 2010

Community evolution detection in dynamic heterogeneous information networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

PET: a statistical model for popular events tracking in social communities.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

TopCells: Keyword-based search of top-k aggregated documents in text cube.
Proceedings of the 26th International Conference on Data Engineering, 2010

Keyword Search in Text Cube: Finding Top-k Aggregated Cell Documents.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010

2009
iNextCube: Information Network-Enhanced Text Cube.
Proc. VLDB Endow., 2009

2008
Text Cube: Computing IR Measures for Multidimensional Text Database Analysis.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008


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