Sentiment-aware personalized tweet recommendation through multimodal FFM.
Ryosuke HarakawaDaichi TakeharaTakahiro OgawaMiki HaseyamaPublished in: Multim. Tools Appl. (2018)
Keyphrases
- sentiment analysis
- personalized recommendation
- micro blog
- news recommendation
- user comments
- social media
- product recommendation
- personalized information
- sentiment classification
- opinion mining
- product reviews
- recommender systems
- user modeling
- collaborative filtering
- personalized services
- web personalization
- topic specific
- recommendation systems
- social networks
- micro blogging
- sentence level
- online social networks
- music retrieval
- multi modal
- personal preferences
- information filtering
- user preferences
- e learning
- multimodal interaction
- user generated content
- information propagation
- audio visual
- text classification
- positive or negative
- social graphs
- recommendation algorithms
- user generated
- user interests
- user feedback
- web users
- bag of words
- user profiles
- user profiling
- information overload
- user context
- sentiment lexicon
- text mining
- machine learning
- polarity classification
- personalized search
- news articles
- context aware
- co occurrence
- multimedia
- search engine