(1+1)-Evolutionary gradient strategy to evolve global term weights in information retrieval
(2015)
Conference Proceeding
Ibrahim, O. A. S., & Landa-Silva, D. (2016). (1+1)-Evolutionary gradient strategy to evolve global term weights in information retrieval. In P. Angelov, A. Gegov, C. Jayne, & Q. Shen (Eds.), Advances in computational intelligence systems: contributions presented at the 16th UK Workshop on Computational Intelligence, September 7–9, 2016, Lancaster, UK (387–405). https://doi.org/10.1007/978-3-319-46562-3_25
In many contexts of Information Retrieval (IR), term weights play an important role in retrieving the relevant documents responding to users' queries. The term weight measures the importance or the information content of a keyword existing in the doc... Read More about (1+1)-Evolutionary gradient strategy to evolve global term weights in information retrieval.