Mike Kolkman graduates on cross-domain geocoding

Cross-domain textual geocoding: influence of domain-specific training data by Mike Kolkman Modern technology is more and more able to understand natural language. To do so, unstructured texts need to be analysed and structured. One such structuring method is geocoding, which is aimed at recognizing and disambiguating references to geographical locations in text. These locations can … Continue reading “Mike Kolkman graduates on cross-domain geocoding”

Sebastiaan Vercammen graduates on displaying intermediate results for on-going searches

by Sebastiaan Vercammen Distributed search introduces problems with resources that require time to process queries and produce results, and users waiting to get an answer to their query. The system could wait a maximum amount of time for every resource to produce its results or start displaying results the very moment they are retrieved by … Continue reading “Sebastiaan Vercammen graduates on displaying intermediate results for on-going searches”

Andres Marenco graduates on federated search

Federated Aggregated Search by Andrés Marenco Zúñiga The traditional search engine paradigm has changed from retrieving simple text documents, to selecting a broader combination of diverse document types (i.e. images, videos, maps…) that could satisfy the user’s information need. Each type of document, stored in specialized databases known as ‘verticals’, and found in either local … Continue reading “Andres Marenco graduates on federated search”

Niek Tax graduates on scaling learning to rank to big data

Scaling Learning to Rank to Big Data: Using MapReduce to Parallelise Learning to Rank by Niek Tax Learning to rank is an increasingly important task within the scientific fields of machine learning and information retrieval, that comprises the use of machine learning for the ranking task. New learning to rank methods are generally evaluated in … Continue reading “Niek Tax graduates on scaling learning to rank to big data”

Roeland Kegel graduates on developing a personal information security assistant

Development and Validation of a Personal Information Security Assistant Architecture by Roeland Kegel This thesis presents and validates the first iteration of the design process of a Personal Information Security Assistant (PISA). The PISA aims to protect the information and devices of an end-user, offering advice and education in order to improve the security and … Continue reading “Roeland Kegel graduates on developing a personal information security assistant”

Tesfay Aregay graduates on Ranking Factors for Web Search

Ranking Factors for Web Search : Case Study In The Netherlands by Tesfay Aregay It is essential for search engines to constantly adjust ranking function to satisfy their users, at the same time SEO companies and SEO specialists are observed trying to keep track of the factors prioritized by these ranking functions. In this thesis, … Continue reading “Tesfay Aregay graduates on Ranking Factors for Web Search”

Yoran Heling graduates on peer selection in Direct Connect

by Yoran Heling In a distributed Peer-to-peer (P2P) system such as Direct Connect, files are often distributed over multiple source peers. It is up to the downloading peer to decide from how many and from which source peers to download the particular file of interest. Biased Random Period Switching (BRPS) is an algorithm, implemented at … Continue reading “Yoran Heling graduates on peer selection in Direct Connect”

Marije de Heus graduates on Recommender Systems for High School Courses

Design and Evaluation of a Recommender System for High School Courses in The Netherlands by Marije de Heus This thesis presents a newly developed recommender system for recommending high school courses in The Netherlands. The recommender system recommends a complete set of courses to a student, based on the choices of similar students that have … Continue reading “Marije de Heus graduates on Recommender Systems for High School Courses”

Mattijs Ugen graduates on scalable performance for digital forensics

Scalable performance for a forensic database application by Mattijs Ugen As digital forensic investigations deal with more and more data, the Netherlands Forensic Institute, NFI, foresees scalability issues with the current solution in the near future. Following the global trend towards distributed solutions for 'Big data' problems, the NFI wants to find a suitable architecture … Continue reading “Mattijs Ugen graduates on scalable performance for digital forensics”

Jop Hofste graduates on identity ranking in digital evidence data

Scalable identity extraction and ranking in Tracks Inspector by Jop Hofste The digital forensic world deals with a growing amount of data which should be processed. In general, investigators do not have the time to manually analyze all the digital evidence to get a good picture of the suspect. Most of the time investigations contain … Continue reading “Jop Hofste graduates on identity ranking in digital evidence data”