Hong-Ren Wang

Beyond a Single Story: Meta-Reviewing Sparse and Incomplete User-generated Contents for Recommendation

Data sparsity remains a long-standing challenge in recommender systems, and it becomes more severe for methods relying on user-generated content (UGC) such as textual reviews, which capture fine-grained preferences but require more user efforts to produce. As a result, UGC exhibits (1) missing reviews, where interactio...