Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review
Cold Start problems in recommender systems pose various challenges in the adoption and
use of recommender systems, especially for new item uptake and new user engagement …
use of recommender systems, especially for new item uptake and new user engagement …
From zero-shot learning to cold-start recommendation
Zero-shot learning (ZSL) and cold-start recommendation (CSR) are two challenging
problems in computer vision and recommender system, respectively. In general, they are …
problems in computer vision and recommender system, respectively. In general, they are …
[HTML][HTML] Deep learning and Internet of Things for tourist attraction recommendations in smart cities
JC Cepeda-Pacheco, MC Domingo - Neural Computing and Applications, 2022 - Springer
We propose a tourist attraction IoT-enabled deep learning-based recommendation system to
enhance tourist experience in a smart city. Travelers will enter details about their travels …
enhance tourist experience in a smart city. Travelers will enter details about their travels …
On both cold-start and long-tail recommendation with social data
The number of “hits” has been widely regarded as the lifeblood of many web systems, eg, e-
commerce systems, advertising systems and multimedia consumption systems. However …
commerce systems, advertising systems and multimedia consumption systems. However …
Low-rank linear cold-start recommendation from social data
The cold-start problem involves recommendation of content to new users of a system, for
whom there is no historical preference information available. This proves a challenge for …
whom there is no historical preference information available. This proves a challenge for …
Personalized attraction recommendation system for tourists through check-in data
Online social networks now play a prominent role in our daily lives and our decisions and
behaviors in many areas. Of particular interest here is the application of social network data …
behaviors in many areas. Of particular interest here is the application of social network data …
On the credibility perception of news on Twitter: Readers, topics and features
Searching for specific topics on Twitter, readers have to judge the credibility of tweets. In this
paper, we examine the relationship between reader demographics, news attributes and …
paper, we examine the relationship between reader demographics, news attributes and …
PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks
Academic venues have risen beyond the imagination for the rapid development of
information technology. It is necessary for researchers to acknowledge high quality and …
information technology. It is necessary for researchers to acknowledge high quality and …
Dealing with Pure New User Cold‐Start Problem in Recommendation System Based on Linked Open Data and Social Network Features
Preferring accuracy over computation time or vice versa is very challenging in the context of
recommendation systems, which encourages many researchers to opt for hybrid …
recommendation systems, which encourages many researchers to opt for hybrid …
Two birds one stone: on both cold-start and long-tail recommendation
The number of" hits" has been widely regarded as the lifeblood of many web systems, eg, e-
commerce systems, advertising systems and multimedia consumption systems. However …
commerce systems, advertising systems and multimedia consumption systems. However …