International audienceResearch has shown the effectiveness of inferring user interests from social neighbors, also called "social profiling". However, the evolution in the social profile is not widely taken into consideration. To overcome this drawback, we propose a time-aware social profiling method that considers the temporal factors of the information and the relationships between the user and his/her social neighbors. This method aims at weighting user interests in the social profile, by applying a time decay function. The temporal score of a given interest is computed by combining the temporal score of information used to extract the interests with the temporal score of individuals who share the information in the network. The experime...
The rapid development of the World Wide Web has created massive information leading to the informati...
Temporal communication is mainly associated with the concept of time. The social network derived fro...
Social Network Analysis (SNA) has enabled researchers to understand and optimize the key dimensions ...
Research has shown the effectiveness of inferring user interests from social neighbors, also called ...
International audienceIncorporating user interest evolution over time is a crucial problem in user p...
Improving the egocentric network-based user's profile building process by taking into account the dy...
International audienceSocial content generated by users' interactions in social networks is a knowle...
There are many ways with which we can analyze Dynamic Social Networks. This project summarizes conte...
Social media is assuming a crucial role in purchasing decisions, and most companies are using social...
Network evolution is a hot research topic especially when social networking has become an important ...
This dissertation documents our research on the discovery and analysis of social networks based on u...
Recently, social networks have attracted considerable atten-tion. The huge volume of information con...
Recently, social networks have attracted considerable atten-tion. The huge volume of information con...
We conduct two experiments to compare different scoring functions for extracted user interests and m...
Given social networks over time, how can we measure network activities across different timesteps wi...
The rapid development of the World Wide Web has created massive information leading to the informati...
Temporal communication is mainly associated with the concept of time. The social network derived fro...
Social Network Analysis (SNA) has enabled researchers to understand and optimize the key dimensions ...
Research has shown the effectiveness of inferring user interests from social neighbors, also called ...
International audienceIncorporating user interest evolution over time is a crucial problem in user p...
Improving the egocentric network-based user's profile building process by taking into account the dy...
International audienceSocial content generated by users' interactions in social networks is a knowle...
There are many ways with which we can analyze Dynamic Social Networks. This project summarizes conte...
Social media is assuming a crucial role in purchasing decisions, and most companies are using social...
Network evolution is a hot research topic especially when social networking has become an important ...
This dissertation documents our research on the discovery and analysis of social networks based on u...
Recently, social networks have attracted considerable atten-tion. The huge volume of information con...
Recently, social networks have attracted considerable atten-tion. The huge volume of information con...
We conduct two experiments to compare different scoring functions for extracted user interests and m...
Given social networks over time, how can we measure network activities across different timesteps wi...
The rapid development of the World Wide Web has created massive information leading to the informati...
Temporal communication is mainly associated with the concept of time. The social network derived fro...
Social Network Analysis (SNA) has enabled researchers to understand and optimize the key dimensions ...