Abstract. Recommender systems (RecSys) research depends on extensive empirical evaluation, yet translating experimental designs into executable code remains a manual, error-prone process. This paper presents AutoRecLab, a Python-based autonomous RecSys lab that automates RecSys experimentation from natural-language prompts. Starting from a research idea, AutoRecLab derives explicit experiment requirements, develops and Read more…
Docear 1.0 Beta 6 is available for download. There are quite a few improvements and new features. The major change is a small icon to refresh the incoming mind map. Instead of selecting the entry in the menu, you can just click on the icon to get a new list of all your PDFs. In addition, when you create a new workspace (or start Docear for the very first time), the mind maps in the Library (Incoming, Literature & Annotations, …) will have a brief description for how to use them. We hope these two new features make Docear easier to use. Furthermore, Adobe Reader X and Professional are now correctly recognized by Docear and LaTeX users will be happy to hear that they can copy reference keys with a [N/A] prefix.
The complete changes are as follows