Aiming to improve the intelligent recommendation ability of users in social networks, an
intelligent recommendation algorithm for social networks based on gradient particle swarm …

With the rapid development of computer technology, the personalized needs of users
become more and more prominent. The complexity of online learning resources and social …

In order to improve the object-oriented nature of social network services and customize the
personalized social network service system, it needs to design a hybrid social network …

In order to improve the recommendation ability of social network, the design method of
social network recommendation service system based on mobile cloud computing is …

With the vigorous development of the social Internet, users have paid extensive attention to
recommendation technology. In the face of the cold start problem of the existing introduction …

With the rise of social networks and the existence of a large number of active users, a large
number of data recording daily life are constantly generated. This kind of data has the …

Aiming at the problem that the traditional social network user interest personalized
recommendation model is affected by noise and human factors, which leads to poor …

The distribution of user community in social network has the problem of similar feature
distribution, which leads to the high viscosity between community and community, and it is …

In order to improve the joint recommendation performance of the community network, we
need to design the network data crawler, and propose a community network data crawler …

Social recommendation algorithm that integrates social networks is widely used in big data
information recommendation. However, there are many relationships among users of social …