Building a Semantic Recommendation Engine for News Feeds based on Emerging Topics from Tweets

Keyphrases

• Twitter 100%
• Recommendation Engine 100%
• Semantic Recommendation 100%
• News Feed 100%
• Tweets 100%
• Technology Upgrading 50%
• Language Use 50%
• Social Networks 50%
• Best Matches 50%
• User Profile 50%
• Cohesion 50%
• Natural Language Processing 50%
• Scale Evaluation 50%
• New User 50%
• Network Routing 50%
• Topic Extraction 50%
• Traditional Grammar 50%
• Matching Process 50%
• User Content 50%
• Textual Corpus 50%
• Mass Communication 50%
• Centered Content 50%
• User-centered 50%
• Geolocation 50%
• Textual Analysis 50%

Computer Science

• Recommendation Engine 100%
• Natural Language Processing 50%
• User-Generated Content 50%
• Communication Technique 50%
• Massive Amount 50%
• Matching Process 50%
• Social Network 50%