Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Studies in artificial evolution
Studies in artificial evolution
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Personalization of search engine services for effective retrieval and knowledge management
ICIS '00 Proceedings of the twenty first international conference on Information systems
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
IEEE Transactions on Knowledge and Data Engineering
A generic ranking function discovery framework by genetic programming for information retrieval
Information Processing and Management: an International Journal
Information Retrieval
Journal of the American Society for Information Science and Technology
A study of relevance propagation for web search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Adapting ranking SVM to document retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search
Journal of Management Information Systems
FRank: a ranking method with fidelity loss
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
AdaRank: a boosting algorithm for information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Learning to rank for information retrieval (LR4IR 2007)
ACM SIGIR Forum
Information Sciences: an International Journal
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
An adaptive learning automata-based ranking function discovery algorithm
Journal of Intelligent Information Systems
| Hi-index | 12.05 |
In this paper, we propose RankIP, the first immune programming (IP) based ranking function discovery approach. IP is a novel evolution based machine learning algorithm with the principles of immune systems, which is verified to be superior to Genetic Programming (GP) on the convergence of algorithm according to their experimental results in Musilek et al. (2006). However, such superiority of IP is mainly demonstrated for optimization problems. RankIP adapts IP to the learning to rank problem, a typical classification problem. In doing this, the solution representation, affinity function, and high-affinity antibody selection require completely different treatments. Besides, two formulae focusing on selecting best antibody for test are designed for learning to rank. Experimental results demonstrate that the proposed RankIP outperforms the state-of-the-art learning-based ranking methods significantly in terms of P@n,MAP and NDCG@n.