• Clingo

  • Referenced in 104 articles [sw09893]
  • both gringo and clasp into a monolithic system. This way it offers more control over ... language standard. For processing legacy encodings, we recommend downloading the latest version of Gringo...
  • HyPER

  • Referenced in 2 articles [sw23917]
  • extensible probabilistic framework for hybrid recommender systems. As the amount of recorded digital information increases ... growing need for flexible recommender systems which can incorporate richly structured data sources to improve ... develop a generic and extensible hybrid recommender system. Our hybrid approach, HyPER (HYbrid Probabilistic Extensible ... accurate prediction by formulating our custom recommender systems with a scalable class of graphical models...
  • APT

  • Referenced in 24 articles [sw23176]
  • methods on Petri nets and labeled transition systems. This guide explains the most important aspects ... started with APT. For citing APT, we recommend the following publications: General: Eike Best ... Schlachter: Analysis of Petri Nets and Transition Systems. In ICE 2015: 53-67; Synthesis...
  • TagiCoFi

  • Referenced in 2 articles [sw12929]
  • information, an increasing number of modern recommender systems also allow the users to add personalized ... provide very useful information for item recommendation, because the users’ interests in items ... often use. Although some content-based recommender systems have made preliminary attempts recently to utilize ... improve the recommendation performance, few recommender systems based on collaborative filtering (CF) have employed tagging...
  • PathRank

  • Referenced in 2 articles [sw33330]
  • heterogeneous graph for flexible hybrid recommender systems. We present a flexible hybrid recommender system that...
  • PREA

  • Referenced in 2 articles [sw08488]
  • PREA: personalized recommendation algorithms toolkit. Recommendation systems are important business applications with significant economic impact ... algorithms have been proposed for recommendation systems. In this paper, we describe an open-source...
  • mural

  • Referenced in 9 articles [sw23627]
  • authors made in realizing this system. It can be recommended to researchers in the field...
  • ReSySTER

  • Referenced in 2 articles [sw09384]
  • ReSySTER: a hybrid recommender system for scrum team roles based on fuzzy and rough sets ... This paper presents ReSySTER, a hybrid recommender system based on fuzzy logic, rough set theory...
  • SibRank

  • Referenced in 3 articles [sw33323]
  • ranking is an emerging field of recommender systems that utilizes users’ preference data rather than...
  • TP2010

  • Referenced in 3 articles [sw10683]
  • learning, e-commerce, health care or recommender systems, among others. The most commonly used procedure...
  • TREPPS

  • Referenced in 1 article [sw12756]
  • survey on context-aware recommender systems based on computational intelligence techniques The demand for ubiquitous ... development of context-aware recommender systems capable of dealing with the problems of information overload ... information filtering. Contemporary recommender systems harness context-awareness with the personalization to offer the most ... issues. Large numbers of context-aware recommender systems are based on the CI techniques, such...
  • LensKit

  • Referenced in 1 article [sw37570]
  • Python: Next-Generation Software for Recommender System Experiments. LensKit is an open-source toolkit ... building, researching, and learning about recommender systems. First released in 2010 as a Java framework ... flexible Python package for supporting recommender systems research and development. LensKit for Python (LKPY) enables ... provides classical collaborative filtering implementations, recommender system evaluation metrics, data preparation routines, and tools...
  • RiVal

  • Referenced in 1 article [sw37573]
  • toolkit to foster reproducibility in recommender system evaluation. Currently, it is difficult ... from a given evaluation of a recommender system, mainly because too many alternatives exist when ... better in some situations. RiVal - a recommender system evaluation toolkit - allows for complete control ... experimental evaluation of a recommender system: data splitting, definition of evaluation strategies, and computation...
  • rrecsys

  • Referenced in 1 article [sw15278]
  • package rrecsys: Environment for Assessing Recommender Systems. Provides implementations of several popular recommendation systems. They ... standard offline evaluation methodology for recommender systems using measures such as MAE, RMSE, Precision, Recall ... package is intended for rapid prototyping of recommendation algorithms and education purposes...
  • DaisyRec

  • Referenced in 1 article [sw37575]
  • multi-Dimension fAirly compArIson for recommender SYstem. A developing recommender system in pytorch. Algorithm ... which aims to fair comparison for recommender system benchmarks...
  • RecBole

  • Referenced in 1 article [sw37574]
  • propose a unified, comprehensive and efficient recommender system library called RecBole, which provides a unified ... framework to develop and reproduce recommender systems for research purpose. In this library, we implement ... standardize the implementation and evaluation of recommender systems. The project and documents are released...
  • Auto-Surprise

  • Referenced in 1 article [sw35077]
  • Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization ... introduce Auto-Surprise, an Automated Recommender System library. Auto-Surprise is an extension ... Surprise recommender system library and eases the algorithm selection and configuration process. Compared...
  • FARS

  • Referenced in 1 article [sw12757]
  • FARS: fuzzy ant based recommender system for web users. ecommender systems are useful tools which ... proposed by presenting a fuzzy recommender system based on collaborative behavior of ants (FARS). FARS ... works in two phases: modeling and recommendation. First, user’s behaviors are modeled offline ... Iran and compared with ant based recommender system (ARS). The results shown are promising...
  • LIBMF

  • Referenced in 2 articles [sw16661]
  • role in many applications such as recommender systems and computer vision, but MF may take...
  • MyPYTHIA

  • Referenced in 2 articles [sw01542]
  • outline the design of a recommendation system (MyPYTHIA) implemented as a Web portal...