Web page classification: Features and algorithms
By Xiaoguang Qi, Brian D. Davison. CSUR, 2009
529 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/e06cb621e796e749e12b1ad47f9d25456b42d476
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Huan Liu
- Jiliang Tang
- Charu C. Aggarwal
- Jimmy J. Lin
- David Martens
- Foster J. Provost
- Lidan Wang
- Yi Chang
In Information Systems
- Jimmy J. Lin
- Huan Liu
- Charu C. Aggarwal
- Lidan Wang
- Jiliang Tang
- David Martens
- Foster J. Provost
- Yi Chang
Citations in the corpus
- Explaining Data-Driven Document Classifications (2014, background): “Predictive models treat documents as data to be classified, and document data are characterized by very high dimensionality, often with tens of thousands to millions of variables (words).”
- Malicious URL Detection using Machine Learning: A Survey (2017, background): “[165] conducted a survey on the features and algorithms deployed for web-page classification.”
- Book Reviews: Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer (2010, unknown): “Along one dimension, it is desirable to partition by document quality using one or more classifiers; see [124] for a recent survey on web page classification.”
- Adversarial Web Search (2011, unknown): “Consiglio Nazionale delle Ricerche fabrizio.sebastiani@isti.cnr.it”
- Survey on supervised machine learning techniques for automatic text classification (2019, methodology): “The efficiency of classification by eliminating those instances which are too far away from query instance using 8-bin hashing technique thus reducing the computational time was enhanced by Qi and Davison (2009).”
- A Survey of Signed Network Mining in Social Media (2015, background): “This boils down to the problem of combining content and correlation links for data classification [Qi and Davison 2009].”
- New classification models for detecting Hate and Violence web content (2015, background): “Automatic classification of web pages has been studied extensively, using different learning methods and tools, investigating different datasets to serve different purposes (Qi and Davidson, 2007).”
- Of Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search (2009, background): “7 As a reference, Qi and Davison [15] provide a recent survey on web page classification.”