One web music aggregation algorithm based on social tags sentiment

摘要

Specific to user's sentiment expression on interactive social web platform, this paper not only proposes bringing personalized recommendation of sentiment tendency into social tags, but also improves previous personalized recommendation algorithms through comparing users' emotional tendency toward resources and conducting similarity calculation. This algorithm is implemented in three stages, including sentiment acquisition, sentiment analysis and sentiment aggregation. Digital simulation experiment has compared various personalized recommendation algorithms, whose result has proved the feasibility and effectiveness of this algorithm.