@mastersthesis {xSantamarta16,
	title = {Machine learning for recommendation systems in job postings selection},
	year = {2016},
	abstract = {<p><span style="color: $\#$333333; font-family: {\textquoteright}Helvetica Neue{\textquoteright}, Helvetica, Arial, sans-serif; font-size: 13px; text-align: justify;">This project is the result of the study, implementation and combination of several recommender systems technics. Moreover, the project try to submit a solution for a challenge on job recommender system. Thus, it has been realized a study of the available technics on recommender systems. After that, it has been analyzed the information provided by organizers, in order to design the most accurate system. The design and the implementation of recommender systems models has been the next step on the project. Finally, the analysis and discussion of the results obtained has been the final step of the project. This step provides the best recommender system designed.</span></p>},
	author = {Victor Marcos Santamarta},
	editor = {Vidal, J. and Ver{\'o}nica Vilaplana}
}
