Event Recommendation using Social Media
关键词: Event (computing) 、 Popularity 、 Computer science 、 Metadata 、 Social media 、 World Wide Web 、 Task (project management) 、 Recommender system 、 Task analysis 、 Pipeline (software)
摘要: Every day, lots of events keep happening around the globe. Examples are festivals, concerts, shows, conferences, sports events, movie launches, etc. There several event recommendation systems that suggest different to users. The popularity an plays important role in recommendation. If system knows which is popular a region, then can be recommended more people region. However, since take place at predefined location and time it identify much before occurrence event. Early prediction future very crucial for success any system. We plan use related discussions social media as signal estimating events. Towards this task, given meta information (time, date, venue, title etc.) about event, we first try posts These passed through preprocessing stages pipeline detect spam, presence emotions their intensities, preprocessed used along with other contextual parameters predict Next, users by using algorithm.
sci-hub.se 参考文章(17)
Axel Magnuson, Vijay Dialani, Deepa Mallela, Event Recommendation using Twitter Activity conference on recommender systems. pp. 331- 332 ,(2015) , 10.1145/2792838.2796556
Hila Becker, Dan Iter, Mor Naaman, Luis Gravano, Identifying content for planned events across social media sites Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12. pp. 533- 542 ,(2012) , 10.1145/2124295.2124360
Elizabeth M. Daly, Werner Geyer, Effective event discovery Proceedings of the fifth ACM conference on Recommender systems - RecSys '11. pp. 277- 280 ,(2011) , 10.1145/2043932.2043982
Daniele Quercia, Neal Lathia, Francesco Calabrese, Giusy Di Lorenzo, Jon Crowcroft, Recommending Social Events from Mobile Phone Location Data international conference on data mining. pp. 971- 976 ,(2010) , 10.1109/ICDM.2010.152
Manish Gupta, Jing Gao, ChengXiang Zhai, Jiawei Han, Predicting future popularity trend of events in microblogging platforms Proc. of the 75th Annual Meeting of the American Society for Information Science and Technology (ASIS & T). ,vol. 49, pp. 1- 10 ,(2012) , 10.1002/MEET.14504901207
Ralf Klamma, Pham Manh Cuong, Yiwei Cao, You Never Walk Alone: Recommending Academic Events Based on Social Network Analysis international conference on complex sciences. ,vol. 4, pp. 657- 670 ,(2009) , 10.1007/978-3-642-02466-5_64
Mehmet Kayaalp, Tansel Özyer, Sibel Tariyan Özyer, A Collaborative and Content Based Event Recommendation System Integrated with Data Collection Scrapers and Services at a Social Networking Site advances in social networks analysis and mining. pp. 113- 118 ,(2009) , 10.1109/ASONAM.2009.41
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth Teller, Tommi Jaakkola, Collaborative future event recommendation conference on information and knowledge management. pp. 819- 828 ,(2010) , 10.1145/1871437.1871542
Houda Khrouf, Raphaël Troncy, Hybrid event recommendation using linked data and user diversity conference on recommender systems. pp. 185- 192 ,(2013) , 10.1145/2507157.2507171
Simon Dooms, Erik Mannens, Luc Martens, Kristof Geebelen, Sam Coppens, Toon De Pessemier, AN EVENT DISTRIBUTION PLATFORM FOR RECOMMENDING CULTURAL ACTIVITIES international conference on web information systems and technologies. pp. 231- 236 ,(2011)