- Semantic, Hierarchical, Online Clustering of Web Search Department of Computer Science
- Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval
- Time-Sensitive Language Modelling for Online Term Recurrence Prediction
- The Recurrence Dynamics of Social Tagging Birkbeck, University of London
- Classifying Networked Entities with Modularity Kernels Birkbeck, University of London
- Learning with Support Vector Machines for Query-By-Multiple-Examples
- Portfolio Theory of Information Retrieval Jun Wang and Jianhan Zhu
- A novel Web usage mining approach for search engines Dell Zhang a,b,*, Yisheng Dong c
- Web based Question Answering with Aggregation Dell Zhang1,2
- Laplacian Co-hashing of Terms and Documents Dell Zhang1
- What Queries are Likely to Recur in Web Search? Birkbeck, University of London
- Self-Taught Hashing for Fast Similarity Search Birkbeck, University of London
- Computer Networks 33 (2000) 449455 www.elsevier.com/locate/comnet
- Journal of Digital Information Management q Volume 7 Number 4 q August 2009202 Query-By-Multiple-Examples using Support Vector Machines
- Extensions to Self-Taught Hashing: Kernelisation and Supervision
- A Simple Probabilistic Approach to Learning from Positive and Unlabeled Examples
- How to Count Thumb-Ups and Thumb-Downs: User-Rating based Ranking of Items
- How to Count Thumb-Ups and Thumb-Downs? An Information Retrieval Approach to User-Rating based Ranking of Items
- Learning Classifiers without Negative Examples: A Reduction Approach Birkbeck, University of London
- Top-k Retrieval using Facility Location Analysis Guido Zuccon1
