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Special Issue "Advances in Recommender Systems"
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: closed (31 March 2018) | Viewed by 31814
Special Issue Editor
Interests: recommender systems; machine learning; artificial intelligence
Special Issue Information
The importance of recommender systems (RS) has grown exponentially with the advent of social networks and the Internet of things. RS are the main solution to the information overload problem. RS acts as filters between users and items allowing the passage of relevant items to the user and blocking the irrelevant ones. Nowadays, RS make use of different sources of information for providing users with predictions and recommendations. They try to balance factors like accuracy, novelty, diversity, serendipity, trust and stability in recommendations.
RS can be classified according to the type of information that they use to compute recommendations. Most popular classifications divides RS into collaborative filtering (CF) and content-based filtering (CBF). CF predicts unknown users’ ratings using clusters of users and items built with the ratings of the users to the items. CBF compares users’ preferences with content information about the items (such as description, tags or location) in order to compute recommendations.
We solicit original submissions that improve RS on any of the following topics:
- collaborative filtering: Similarity metrics, quality measures, matrix factorization, cold start
- content based filtering: Topic modeling, folksonomies, geo-based recommendations
- social media data: Recommendations to group of users, followers, time-based recommendations
- deep learning in recommender systems
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Recommender systems
- Collaborative filtering
- Content based filtering
- Matrix factorization
- Deep learning