1. Kopliku, A., Pinel-Sauvagnat, K., & Mohand, B. (2014). Aggregated search: A new information retrieval paradigm. In ACM Computing Surveys (CSUR) (vol. 46, no. 3, p. 41). New York: ACM.
2. Arguello, J., Robert, C., & Wan-Ching, W. (2013). Factors affecting aggregated search coherence and search behavior. In: 22nd ACM International Conference on Information and Knowledge Management (pp. 1989–1998). New York: ACM.
3. Arguello, J., & Robert, C.: The effect of aggregated search coherence on search behavior. In: 21st ACM International Conference on Information and Knowledge Management (pp. 1293–1302). New York: ACM (2012).
4. Melucci, M., & Ricardo, B. (2011). Advanced topics in information retrieval (vol. 33). Springer Science and Business Media.
5. Jiang, D., Jian, P., & Hang, L. (2013). Mining search and browse logs for web search: A survey. In ACM Transactions on Intelligent Systems and Technology (pp. 4–57). New York: ACM.