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Improving Recommendation of Tail Tags for Questions in Community Question Answering

AAAI 2016 · Vision-language and multimodal › Visual question answering · approach: Universal VQA models · 17 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add learned question and tag similarity with feature fusion instead of tf x idf heuristic (ablation)tag recommendation model · QuoraP@1: 0.523 -> 0.553Helped
add learned question and tag similarity with feature fusion instead of tf x idf heuristic (ablation)tag recommendation model · QuoraPt@1: 0.214 -> 0.165Hurt
add learned question and tag similarity instead of tf x idf heuristic (ablation)tag recommendation model · ZhihuP@1: 0.511 -> 0.577Helped
fuse multiple features instead of one feature (ablation)tag recommendation model · QuoraPt@1: 0.161 -> 0.165Helped
fuse multiple features instead of one feature (ablation)tag recommendation model · ZhihuPt@1: 0.171 -> 0.176Helped
add question similarity to tag-similarity-only variant (ablation)tag recommendation model · QuoraP@1: 0.535 -> 0.553Helped
add tag similarity to question-similarity-only variant (ablation)tag recommendation model · QuoraPt@1: 0.161 -> 0.165Helped
add tag similarity to question-similarity-only variant (ablation)tag recommendation model · QuoraP@1: 0.550 -> 0.553No clear effect
use proposed model instead of HGMtag recommendation model · ZhihuP@1: 0.427 -> 0.577Helped
use proposed model instead of HGMtag recommendation model · QuoraPt@5: 0.097 -> 0.092Mixed

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