1. Agichtein, E., Brill, E., Dumais, S., & Ragno, R. (2006). Learning user interaction models for predicting web search result preferences. In SIGIR ’06: Proceedings of the 29th ACM International Conference on Research and Development in IR (pp. 3–10). New York: ACM.
2. Agrawal, R., Gollapudi, S., Halverson, A., & Ieong, S. (2009). Diversifying search results. In WSDM ’09: Proceedings of the Second International Conference on Web Search and Web Data Mining (pp.5–14). New York: ACM.
3. Aleman-Meza, B. et al. (2004). Sweto: Large-scale semantic web test bed. In Proceedings 16th International Conference Software Engineering & Knowledge Engineering, Workshop on Ontology in Action (pp. 490–493). Knowledge Systems Institute
4. Aleman-Meza, B., Halaschek-Wiener, C., Arpinar, I. B., Ramakrishnan, C., & Sheth, A. P. (2005). Ranking complex relationships on the semantic web. IEEE Internet Computing, 9(3), 37–44.
5. Ali, M. S., Consens, M. P., Kazai, G., & Lalmas, M. (2008). Structural relevance: a common basis for the evaluation of structured document retrieval. In CIKM ’08: Proceedings of the 17th ACM Conference on Information and Knowledge Management (pp. 1153–1162). New York: ACM.