This study investigated a relatively unexamined query type, queries composed of URLs. The extent, variation and user click-through behavior was examined to determine the intent be...
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
y was conducted by Cong Yu and Zhihong Yao. The abstract of the study is as follows: To enhance the readability, improve the structure, and facilitate the sharing of digital imag...
Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from i...
Bibliometric studies at the micro level are increasingly requested by science managers and policy makers to support research decisions. Different measures and indices have been d...
Francisco Javier Cabrerizo, Sergio Alonso, Enrique...