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 …
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 …
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 …
User preference learning for online social recommendation
A social recommendation system has attracted a lot of attention recently in the research
communities of information retrieval, machine learning, and data mining. Traditional social …
communities of information retrieval, machine learning, and data mining. Traditional social …
Interactive social recommendation
Social recommendation has been an active research topic over the last decade, based on
the assumption that social information from friendship networks is beneficial for improving …
the assumption that social information from friendship networks is beneficial for improving …
Learning personalized preference of strong and weak ties for social recommendation
Recent years have seen a surge of research on social recommendation techniques for
improving recommender systems due to the growing influence of social networks to our daily …
improving recommender systems due to the growing influence of social networks to our daily …
Dream: A dynamic relation-aware model for social recommendation
L Song, Y Bi, M Yao, Z Wu, J Wang, J Xiao - Proceedings of the 29th …, 2020 - dl.acm.org
Social connections play a vital role in improving the performance of recommendation
systems (RS). However, incorporating social information into RS is challenging. Most …
systems (RS). However, incorporating social information into RS is challenging. Most …
Social recommendation with strong and weak ties
With the explosive growth of online social networks, it is now well understood that social
information is highly helpful to recommender systems. Social recommendation methods are …
information is highly helpful to recommender systems. Social recommendation methods are …
Item cold-start recommendations: learning local collective embeddings
M Saveski, A Mantrach - Proceedings of the 8th ACM Conference on …, 2014 - dl.acm.org
Recommender systems suggest to users items that they might like (eg, news articles, songs,
movies) and, in doing so, they help users deal with information overload and enjoy a …
movies) and, in doing so, they help users deal with information overload and enjoy a …
Social recommendation with an essential preference space
Social recommendation, which aims to exploit social information to improve the quality of a
recommender system, has attracted an increasing amount of attention in recent years. A …
recommender system, has attracted an increasing amount of attention in recent years. A …