Leveraging contextual information for cold-start Web service recommendation.
Gang TianQibo WangJian WangKeqing HeWeidong ZhaoPanpan GaoYanjun PengPublished in: Concurr. Comput. Pract. Exp. (2019)
Keyphrases
- contextual information
- cold start
- implicit feedback
- recommender systems
- cold start problem
- collaborative filtering
- context aware
- data sparsity
- tag recommendation
- user preferences
- personalized recommendation
- high level
- recommendation algorithms
- contextual knowledge
- recommendation systems
- user interests
- contextual features
- user feedback
- pairwise
- information overload
- matrix factorization
- user behavior
- user interface