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- short-paperOctober 2016
Modeling and Predicting Popularity Dynamics via an Influence-based Self-Excited Hawkes Process
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementPages 1897–1900https://doi.org/10.1145/2983323.2983868Modeling and predicting the popularity dynamics of individual user generated items on online social networks has important implications in a wide range of areas. The challenge of this problem comes from the inequality of the popularity of content and ...
- short-paperOctober 2016
Towards Time-Discounted Influence Maximization
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementPages 1873–1876https://doi.org/10.1145/2983323.2983862The classical influence maximization (IM) problem in social networks does not distinguish between whether a campaign gets viral in a week or in a year. From the practical standpoint, however, campaigns for a new technology or an upcoming movie must be ...
- research-articleOctober 2016
Tracking Virality and Susceptibility in Social Media
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementPages 1059–1068https://doi.org/10.1145/2983323.2983800In social media, the magnitude of information propagation hinges on the virality and susceptibility of users spreading and receiving the information respectively, as well as the virality of information items. These users' and items' behavioral factors ...
- research-articleOctober 2016
A Comparative Study of Query-biased and Non-redundant Snippets for Structured Search on Mobile Devices
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementPages 2389–2394https://doi.org/10.1145/2983323.2983699To investigate what kind of snippets are better suited for structured search on mobile devices, we built an experimental mobile search application and conducted a task-oriented interactive user study with 36 participants. Four different versions of a ...
- research-articleOctober 2016
Learning Points and Routes to Recommend Trajectories
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementPages 2227–2232https://doi.org/10.1145/2983323.2983672The problem of recommending tours to travellers is an important and broadly studied area. Suggested solutions include various approaches of points-of-interest (POI) recommendation and route planning. We consider the task of recommending a sequence of ...