Evaluating recommender systems: survey and framework
The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …
endeavor: many facets need to be considered in configuring an adequate and effective …
Paper recommender systems: a literature survey
In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …
recommender systems. We reviewed these articles and present some descriptive statistics in …
Recommendation systems: Algorithms, challenges, metrics, and business opportunities
Recommender systems are widely used to provide users with recommendations based on
their preferences. With the ever-growing volume of information online, recommender …
their preferences. With the ever-growing volume of information online, recommender …
A scientometric review of emerging trends and new developments in recommendation systems
Recommendation systems have drawn an increasingly broad range of interest since early
1990s. Recently, a search with the query of “recommendation systems” on Google Scholar …
1990s. Recently, a search with the query of “recommendation systems” on Google Scholar …
A comparative analysis of offline and online evaluations and discussion of research paper recommender system evaluation
Offline evaluations are the most common evaluation method for research paper
recommender systems. However, no thorough discussion on the appropriateness of offline …
recommender systems. However, no thorough discussion on the appropriateness of offline …
A state-of-the-art survey on recommendation system and prospective extensions
With the new era of the Internet, we have a large amount of data available in the form of
ratings, reviews, graphs, images, etc. However, still, people face difficulty in finding useful …
ratings, reviews, graphs, images, etc. However, still, people face difficulty in finding useful …
News session-based recommendations using deep neural networks
News recommender systems are aimed to personalize users experiences and help them to
discover relevant articles from a large and dynamic search space. Therefore, news domain …
discover relevant articles from a large and dynamic search space. Therefore, news domain …
A systematic review of scholar context-aware recommender systems
Incorporating contextual information in recommender systems is an effective approach to
create more accurate and relevant recommendations. This review has been conducted to …
create more accurate and relevant recommendations. This review has been conducted to …
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks
Tremendous academic information causes serious information overload problems while
supporting scientific research. Scientific paper and citation recommendation systems have …
supporting scientific research. Scientific paper and citation recommendation systems have …
A comparison of offline evaluations, online evaluations, and user studies in the context of research-paper recommender systems
J Beel, S Langer - Research and Advanced Technology for Digital …, 2015 - Springer
The evaluation of recommender systems is key to the successful application of
recommender systems in practice. However, recommender-systems evaluation has received …
recommender systems in practice. However, recommender-systems evaluation has received …