Prior work on personalized recommendations has focused exploiting explicit signals from user-specific queries, clicks, likes and ratings. This paper investigates tapping into a different source of implicit interests tastes: online chats between users. The develops an expressive model effective methods for personalizing search-based entity recommendations. User models derived augment re-ranking ...

Because of the explosion communication and speed transfer files information, as well ease communication, there is an exchange a thoughts this one main characteristics social media. In case language was deeply influenced by Chat has become popular tool for many young people who - through constant use have negatively affected their own spelling competence, those hold chat certain form that enable...

WhatsApp is India’s most popular social media application and has emerged as a valuable tool for health risk communication during the COVID-19 public emergency (PHE). Public institutions,WHO Government agencies used Health Alert to distribute verified, accurate timely information pandemic. This study examines potential of primary source its impact on users’ knowledge perception We conducted cro...

This paper describes a summarization system for technical chats and emails on the Linux kernel. To reflect the complexity and sophistication of the discussions, they are clustered according to subtopic structure on the sub-message level, and immediate responding pairs are identified through machine learning methods. A resulting summary consists of one or more mini-summaries, each on a subtopic ...