Results 11 to 20 of about 7,593,003 (291)
The Continuous Cold Start Problem in e-Commerce Recommender Systems [PDF]
CoRR, 2015 Many e-commerce websites use recommender systems to recommend items to users. When a user or item is new, the system may fail because not enough information is available on this user or item. Various solutions to this `cold-start problem' have been proposed in the literature.
Bernardi, L. +3 more
core +14 more sources
Addressing the Extreme Cold-Start Problem in Group Recommendation
CoRR, 2022 The task of recommending items to a group of users, a.k.a. group recommendation, is receiving increasing attention. However, the cold-start problem inherent in recommender systems is amplified in group recommendation because interaction data between groups and items are extremely scarce in practice.
Linxin Guo +5 more
openaire +4 more sources
Bid Landscape Forecasting and Cold Start Problem With Transformers
IEEE AccessIn Real-Time Bidding, advertisers aim to optimally bid within a limited budget constraint. Effective bidding strategies require bid landscape forecasting to predict the probability distribution of market price for each advertisement auction.
Daria Yakovleva +3 more
doaj +2 more sources
Cold Start Problem: A Lightweight Approach
, 2013 The chapter presents the SWAPTeam participation at the ECML/PKDD 2011 - Discovery Challenge for the task on the cold start problem focused on making recommendations for new video lectures. The developed solution uses a content-based approach because it is less sensitive to the cold start problem that is commonly associated with pure collaborative ...
Iaquinta L. +2 more
openaire +4 more sources
DotMat: Solving Cold-Start Problem and Alleviating Sparsity Problem for Recommender Systems
2022 IEEE 5th International Conference on Electronics Technology (ICET), 2022 Cold-start and sparsity problem are two key intrinsic problems to recommender systems. During the past two decades, researchers and industrial practitioners have spent considerable amount of efforts trying to solve the problems. However, for cold-start problem, most research relies on importing side information to transfer knowledge.
Wang, Hao
openaire +4 more sources
Addressing the Cold-Start Problem in Personalized Flight Ticket Recommendation [PDF]
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 +3 more sources
A Case-Based Solution to the Cold-Start Problem in Group Recommenders
, 2012 In this paper we offer a potential solution to the cold-start problem in group recommender systems. To do so, we use information about previous group recommendation events and copy ratings from a user who played a similar role in some previous group event. We show that copying in this way, i.e.
Lara Quijano Sánchez +3 more
openaire +3 more sources
Normalization-based neighborhood model for cold start problem in recommendation system [PDF]
, 2020 Existing approaches for Recommendation Systems (RS) are mainly based on users’ past knowledge and the more popular techniques such as the neighborhood models focus on finding similar users in making recommendations.
Zahid, Aafaq +2 more
core +1 more source
Enhancing Traditional Recommender Systems via Social Communities [PDF]
Vietnam Journal of Computer Science, 2019 Collaborative Filtering (CF) has become the most popular approach for developing Recommender Systems in diverse business applications. Unfortunately, problems such as the cold-start problem (i.e., new users or items enter the system and for those no ...
Leschek Homann +3 more
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