Results 31 to 40 of about 1,559,851 (193)
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
, 2019 We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-GCN) architecture to learn node representations for boosting the performance in recommender systems, especially in the cold start scenario.
King, Irwin +3 more
core +1 more source
Addressing the Cold-Start Problem in Personalized Flight Ticket Recommendation
IEEE Access, 2019 With the rapid development of the tourist industry, an increasing number of passengers book flight tickets through online travel agencies. When searching for a flight ticket online, users are overwhelmed by the choice on offer.
Qi Gu, Jian Cao, Yafeng Zhao, Yudong Tan
doaj +1 more source
Improving Cold Start Stereotype-Based Recommendation Using Deep Learning
IEEE Access, 2023 Recommendation engines constitute a key component of many online platforms. One of the most challenging problems facing a recommender system is that of cold start, namely the recommendation of items from the catalogue to a new unknown user, or the ...
Nourah A. Al-Rossais
doaj +1 more source
IceBreaker: Solving Cold Start Problem for Video Recommendation Engines
, 2018 Internet has brought about a tremendous increase in content of all forms and, in that, video content constitutes the major backbone of the total content being published as well as watched.
Khaund, Abhigyan +5 more
core +1 more source
Factorizing LambdaMART for cold start recommendations
, 2015 Recommendation systems often rely on point-wise loss metrics such as the mean squared error. However, in real recommendation settings only few items are presented to a user.
Alexandros Kalousis +9 more
core +2 more sources
Case Studies in Thermal Engineering, 2019 The cold-start condition is an important factor affecting vehicle emissions from gasoline direct injection (GDI) and port fuel injection (PFI) vehicles.
Abdulfatah Abdu Yusuf +1 more
doaj +1 more source
Method of Forming Recommendations Using Temporal Constraints in a Situation of Cyclic Cold Start of the Recommender System [PDF]
, 2019 The problem of the formation of the recommended list of items in the situation of cyclic cold start of the recommendation system is considered. This problem occurs when building recommendations for occasional users. The interests of such consumers change
Chalyi, S. (Serhii) +2 more
core +2 more sources
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design [PDF]
, 2016 It is well known that collaborative filtering (CF) based recommender systems provide better modeling of users and items associated with considerable rating history. The lack of historical ratings results in the user and the item cold-start problems.
Anava, Oren +6 more
core +1 more source
ElectrochemistryThe study investigates the optimization of auxiliary heating strategies during the cold start of fuel cells, analyzing the effects of factors such as bipolar plate materials, coolant types, positive temperature coefficient (PTC) heating power, initial ...
Shaofang LIN, Jianbin SU, Lei SHI
doaj +1 more source
RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User
IEEE Access, 2020 Traditional recommendation algorithms such as matrix factorization, collaborative filtering perform poorly when lack of interactive information of user and product, known as the user cold-start problem, which may cut down the revenue of E-Commerce ...
Yaru Jin +3 more
doaj +1 more source