16 Result(s)

Article

An integrated system for building enterprise taxonomies

Although considerable research has been conducted in the field of hierarchical text categorization, little has been done on automatically collecting labeled corpus for building hierarchical taxonomies. In this...

Li Zhang, Tao Li, Shi**a Liu, Yue Pan in Information Retrieval (2007)

Article

A general approximation framework for direct optimization of information retrieval measures

Recently direct optimization of information retrieval (IR) measures has become a new trend in learning to rank. In this paper, we propose a general framework for direct optimization of IR measures, which enjoy...

Tao Qin, Tie-Yan Liu, Hang Li in Information Retrieval (2010)

Article

LETOR: A benchmark collection for research on learning to rank for information retrieval

LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the LETOR collection and show how ...

Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li in Information Retrieval (2010)

Article

Guest editorial: special issue on data mining with matrices, graphs and tensors

Tao Li, Chris Ding, Fei Wang in Data Mining and Knowledge Discovery (2011)

Article

Correcting evaluation bias of relational classifiers with network cross validation

Recently, a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and identically distributed (i.i.d.)...

Jennifer Neville, Brian Gallagher, Tina Eliassi-Rad… in Knowledge and Information Systems (2012)

Article

Guest editorial: Integrated spatio-temporal analysis and data mining

Tao Cheng in GeoInformatica (2012)

Article

Comparison of trends in the quantity and variety of Science Citation Index (SCI) literature on human pathogens between China and the United States

The proportion of pathogenic microorganisms in the microbial world is relatively small, while their threat to human health, economic development and social stability is severe. The quantity and variation of Sc...

Deqiao Tian, Yunzhou Yu, Yumin Wang, Tao Zheng in Scientometrics (2012)

Article

Guest editorial: spatial and temporal databases

Dieter Pfoser, Yufei Tao in GeoInformatica (2013)

Article

Emerging infectious disease: trends in the literature on SARS and H7N9 influenza

Severe acute respiratory syndrome (SARS) and human infection H7N9 influenza are emerging infectious diseases having a relatively high mortality. Epidemics of each began in China. By searching through Science C...

Deqiao Tian, Tao Zheng in Scientometrics (2015)

Article

Decoding multi-click search behavior based on marginal utility

Query logs contain rich feedback information from users interacting with search engines. Therefore, various click models have been developed to interpret users’ search behavior and to extract useful knowledge ...

Hai-Tao Yu, Adam Jatowt, Roi Blanco, Hideo Joho… in Information Retrieval Journal (2017)

Article

Toward multi-label sentiment analysis: a transfer learning based approach

Sentiment analysis is recognized as one of the most important sub-areas in Natural Language Processing (NLP) research, where understanding implicit or explicit sentiments expressed in social media contents is ...

Jie Tao, **ng Fang in Journal of Big Data (2020)

Article

A survey of community detection methods in multilayer networks

Community detection is one of the most popular researches in a variety of complex systems, ranging from biology to sociology. In recent years, there’s an increasing focus on the rapid development of more compl...

**nyu Huang, Dongming Chen, Tao Ren, Dongqi Wang in Data Mining and Knowledge Discovery (2021)

Article

Fairness in graph-based semi-supervised learning

Machine learning is widely deployed in society, unleashing its power in a wide range of applications owing to the advent of big data. One emerging problem faced by machine learning is the discrimination from d...

Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen… in Knowledge and Information Systems (2023)

Article

An in-depth study on adversarial learning-to-rank

In light of recent advances in adversarial learning, there has been strong and continuing interest in exploring how to perform adversarial learning-to-rank. The previous adversarial ranking methods [e.g., IRGA...

Hai-Tao Yu, Rajesh Piryani, Adam Jatowt, Ryo Inagaki… in Information Retrieval Journal (2023)

Article

Privacy-aware document retrieval with two-level inverted indexing

Previous work on privacy-aware ranking has addressed the minimization of information leakage when scoring top k documents, and has not studied on how to retrieve these top documents and their features for ranking...

Yifan Qiao, Shiyu Ji, Changhai Wang, **** Shao, Tao Yang in Information Retrieval Journal (2023)

Article

Effective interpretable learning for large-scale categorical data

Large scale categorical datasets are ubiquitous in machine learning and the success of most deployed machine learning models rely on how effectively the features are engineered. For large-scale datasets, param...

Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, Tao Wang… in Data Mining and Knowledge Discovery (2024)