Earlier this year, I announced my Master’s Thesis in Recommendation Systems and Nextcloud, an open source file sync and share software. Since then, things have changed a little bit. RecommendationAssistant was designed to work with two recommendation techniques: Collaborative Filtering and Content-Based Recommendation. Unfortunately, the second technique worked not as good as expected. Office files, … read more …
Didapptic.com is a research based web application that measures Android and iOS Apps from a didactic point of view. Actually, we work on a new release in order to provide a fresh layout and smarter handling of app data. Among other things, the new release introduces also a new user management handling which allows and/or permits … read more …
Yesterday, I was working on PHPAlgorithms (again). When trying to implement Graphs (Directed and Undirected), I found out that a node could not be found in the graph although I was sure it was there. After a lot of debugging and reverse engineering, I found out that: the adjacency list, which contains all adjacent nodes … read more …
Frankfurt, May 2018 – Today, the first BETA version of PHPAlgorithms is launched! The repository is available via GitHub and Packagist. Originally launched as a research project, PHPAlgorithms provides currently a basic set of data structures. The repository has been designed to provide simple usage of common data structures such as lists, maps and trees. … read more …
This is a great day. Over the last approximately 7 months I have worked hard on my Master’s Thesis. The goal was to contribute to the community by creating an open source app for an open source platform. And thus, I started to work on a Recommender App at the company behind Nextcloud, an open … read more …
A few days ago I have started working on a PHP library for algorithms and data structures. PHPAlgorithms is still in progress and thus has a early beta status. But today, I have pushed the first data structure which is nearly full implemented: HashMaps. A HashMap is characterized among others by its key-value storage property. … read more …
For my masters thesis I have researched Content-Based Recommendation and keyword extraction as a part of it in detail. One interesting point regarding to keyword extraction is the “quality” of keywords, meaning that if a keyword is descriptive for a document or not. TF-IDF Definition For TF-IDF keyword extraction it is necessary to have a … read more …
Für ein Projekt an der Uni beschäftige ich mich seit längerer Zeit mit Empfehlungssystemen (Recommender Systems), welche i.d.R. aus Collaborative Filtering und Content-Based Recommendation Techniken bestehen. In diesem Blogpost möchte ich auf die Collaborative Filtering-Komponente, genauer auf das Item-Based Collaborative Filtering eingehen. Das Item-Based Collaborative Filtering wurde ursprünglich von Amazon entwickelt. “Traditionelles” Collaborative Filtering, besser … read more …
Wie ich bereits in “Erste Versuche in Machine Learning” erwähnt habe, möchte ich mich in der nächsten Zeit mit dem Thema intensiver beschäftigen. Zwar werde ich die Ansätze aus dem Post verwerfen müssen, aber das Grundkonzept bleibt dasselbe. Das genaue Konzept und eine Vorstellung des Projekts mache ich, wenn ich Klarheit über die Zukunft des Projekts … read more …