Results 71 to 80 of about 66,257 (173)

User Experiments on the Effect of the Diversity of Consumption on News Services

IEEE Access
On many online platforms, more items are being added every day, requiring users to select efficiently the desired item from among these candidates. In similar environments, recommender systems have been introduced, allowing users to select from among ...
Atom Sonoda, Fujio Toriumi, Hiroto Nakajima   +2 more
doaj   +1 more source

Addressing the New User Cold-Start Problem in Recommender Systems Using Ordered Weighted Averaging Operator

International Journal of Information and Communication Technology Research, 2010
Recommender systems have become significant tools in electronic commerce, proposing effectively those items that best meet the preferences of users. A variety of techniques have been proposed for the recommender systems such as, collaborative filtering ...
Javad Basiri, Azadeh Shakery, Behzad Moshiri, Morteza Zihayat   +3 more
doaj  

Active learning algorithm for alleviating the user cold start problem of recommender systems

Scientific Reports
A key challenge in recommender systems is how to profile new users. A popular solution for this problem is to use active learning strategies. These strategies request ratings for a small set of carefully selected items to reveal the preferences of new ...
Toon De Pessemier, Bruno Willems, Luc Martens   +2 more
doaj   +1 more source

Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets

IEEE Access
Recommender systems become essential with the presence of the internet and social media. The perceived benefits of the recommender system can make it easier for users to find suitable products and recommend other products, specifically with lots of ...
Ilham Saifudin, Triyanna Widiyaningtyas
doaj   +1 more source

Personalized Recommendation in a Retail Platform Under the Hybrid Selling Mode

Journal of Theoretical and Applied Electronic Commerce Research
Retail platforms have widely implemented recommender systems to provide personalized recommendations to consumers, influencing sales significantly. However, under the hybrid selling mode where platforms offer both their products and third-party sellers ...
Wei Wang, Xinyu Han, Yuqing Ma, Gang Li
doaj   +1 more source

Hybrid-based food recommender system utilizing KNN and SVD approaches

Cogent Engineering
In the era of digital platforms and abundant data, food recommender systems have been essential tools for guiding individuals to discover preferences and perfect meals.
Zhi-Toung Yap, Su-Cheng Haw, Nur Erlida Binti Ruslan   +2 more
doaj   +1 more source

Acceptance of a digital therapy recommender system for psoriasis. [PDF]

BMC Med Inform Decis Mak, 2023
Graf L, Tesch F, Gräßer F, Harst L, Siegels D, Schmitt J, Abraham S.   +6 more
europepmc   +1 more source

A drug recommender system for the treatment of hypertension. [PDF]

BMC Med Inform Decis Mak, 2023
Mai A, Voigt K, Schübel J, Gräßer F.
europepmc   +1 more source

Climbing crags recommender system in Arco, Italy: a comparative study. [PDF]

Front Big Data, 2023
Ivanova I, Wald M.
europepmc   +1 more source

Designing and Evaluating a Nutrition Recommender System for Improving Food Security in a Developing Country. [PDF]

Arch Iran Med, 2023
Abhari S, Lankarani KB, Azadbakht L, Niakan Kalhori SR, Safdari R, Emamgholipour Sefiddashti S, Garavand A, Barzegari S, Moradi S.   +8 more
europepmc   +1 more source