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implement suggestions for foundations chapter

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02_Proposal/proposal.bib
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@@ -790,6 +790,23 @@
title = {{{INTELLIREQ}}: {{Intelligent Techniques}} for {{Software Requirements Engineering}}}
}
@incollection{ningComprehensiveSurveyNeighborhoodBased2015,
abstract = {Among collaborative recommendation approaches, methods based on nearest-neighbors still enjoy a huge amount of popularity, due to their simplicity, their efficiency, and their ability to produce accurate and personalized recommendations. This chapter presents a comprehensive survey of neighborhood-based methods for the item recommendation problem. In particular, the main benefits of such methods, as well as their principal characteristics, are described. Furthermore, this document addresses the essential decisions that are required while implementing a neighborhood-based recommender system, and gives practical information on how to make such decisions. Finally, the problems of sparsity and limited coverage, often observed in large commercial recommender systems, are discussed, and some solutions to overcome these problems are presented.},
author = {Ning, Xia and Desrosiers, Christian and Karypis, George},
booktitle = {Recommender {{Systems Handbook}}},
date = {2015},
doi = {10.1007/978-1-4899-7637-6_2},
editor = {Ricci, Francesco and Rokach, Lior and Shapira, Bracha},
file = {C\:\\Users\\Hannes.Kuchelmeister\\Zotero\\storage\\D6HDEGBT\\Ning et al_2015_A Comprehensive Survey of Neighborhood-Based Recommendation Methods.pdf},
isbn = {978-1-4899-7637-6},
keywords = {Diffusion Kernel,Recommendation Approach,Recommender System,Side Information,Similarity Weight},
langid = {english},
location = {{Boston, MA}},
pages = {37-76},
publisher = {{Springer US}},
title = {A {{Comprehensive Survey}} of {{Neighborhood}}-{{Based Recommendation Methods}}}
}
@inproceedings{offermannOutlineDesignScience2009,
abstract = {Discussions about the body of knowledge of information systems, including the research domain, relevant perspectives and methods have been going on for a long time. Many researchers vote for a combination of research perspectives and their respective research methodologies; rigour and relevance as requirements in design science are generally accepted. What has been lacking is a formalisation of a detailed research process for design science that takes into account all requirements. We have developed such a research process, building on top of existing processes and findings from design research. The process combines qualitative and quantitative research and references well-known research methods. Publication possibilities and self-contained work packages are recommended. Case studies using the process are presented and discussed.},
author = {Offermann, Philipp and Levina, Olga and Sch\"onherr, Marten and Bub, Udo},