Event Recommendation using Social Media
Sreekanth Madisetty · 2019
Every day, lots of events keep happening around the globe. Examples of events are festivals, concerts, shows, conferences, sports events, movie launches, etc. There are several event recommendation systems that suggest different events to the users. The popularity of an event plays an important role in event recommendation. If the system knows which event is popular in a region, then that can be recommended to more people in that region. However, since events take place at predefined location and time it is important to identify the popularity much before the occurrence of the event. Early prediction of future popularity is very crucial for the success of any event recommendation system. We plan to use event related discussions in social media as a signal for estimating the popularity of the events. Towards this task, given meta information (time, date, venue, title etc.) about an event, we first try to identify social media posts related to the event. These posts are then passed through several preprocessing stages in a pipeline to detect spam, identify the presence of emotions and their intensities, etc. The preprocessed posts can then be used along with several other contextual parameters to predict the future popularity of the events. Next, events can be recommended to the users by using a recommendation algorithm.