{"title":"Creating High Level Content Descriptors for Recommender Systems Datasets","authors":"Nicolás Torres, Marcelo Mendoza","doi":"10.1109/SCCC.2018.8705247","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705247","url":null,"abstract":"Information Retrieval and Recommender Systems have been frequently evaluated using indexes based on variants and extensions of precision-like measures. Likewise, approaches for diversity evaluation have been proposed. However, these measures are usually defined in terms of a set of high level content descriptors known as information nuggets that are hard to obtain. We propose a method to create these nuggets using social tags, providing datasets with annotations to evaluate content diversity in recommender systems. Since recommending items to a target user is analogous to searching documents from a query, this method might be extended to Information Retrieval.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131271394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using the SEMAT Kernel for Software Process Assessment and Practices Implementation in an Software Process Improvement Initiative","authors":"Pablo Cruz, H. Astudillo","doi":"10.1109/SCCC.2018.8705227","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705227","url":null,"abstract":"Software process improvement (SPI) initiatives are based upon an appropriate assessment of the actual state or maturity of processes and a concrete model to guide engineers in the next steps to move from the actual state to an improved one. In the context of an SPI initiative at the Chilean National Customs Service, we used the SEMAT Kernel to assess software processes and to guide the implementation of practices for their improvement. We present in this paper our experience using the SEMAT Kernel. We also present a description of several lessons learned in this experience.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126433412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}