acetylcholine
发表于 2025-3-30 08:22:13
Boost Clickbait Detection Based on User Behavior Analysis a classifier to produce an initial clickbait-score for articles. Then, we define a loss function on the user behavior and tune the clickbait score toward decreasing the loss function. Experiment shows that we improve precision and recall after using user behavior.
innate
发表于 2025-3-30 13:55:49
Boost Clickbait Detection Based on User Behavior Analysis a classifier to produce an initial clickbait-score for articles. Then, we define a loss function on the user behavior and tune the clickbait score toward decreasing the loss function. Experiment shows that we improve precision and recall after using user behavior.
uveitis
发表于 2025-3-30 16:53:47
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rectum
发表于 2025-3-30 21:01:36
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freight
发表于 2025-3-31 03:03:34
Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally?modular function maximization and proportionality respectively. Experimental results on MovieLens and FilmTrust datasets demonstrate that our approach outperforms state-of-the-art techniques in terms of distributional diversity.
Comedienne
发表于 2025-3-31 07:41:31
Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally?modular function maximization and proportionality respectively. Experimental results on MovieLens and FilmTrust datasets demonstrate that our approach outperforms state-of-the-art techniques in terms of distributional diversity.
导师
发表于 2025-3-31 12:22:42
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茁壮成长
发表于 2025-3-31 14:15:33
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Chivalrous
发表于 2025-3-31 19:27:25
Event2vec: Learning Representations of Events on Temporal SequencesFinally, we feed these data to embedding neural network to get learned vectors. Experiments on real temporal event sequence data in medical area demonstrate the effectiveness and efficiency of the proposed method. The procedure is totally unsupervised without the help of expert knowledge. Thus can b
代替
发表于 2025-4-1 00:52:53
Event2vec: Learning Representations of Events on Temporal SequencesFinally, we feed these data to embedding neural network to get learned vectors. Experiments on real temporal event sequence data in medical area demonstrate the effectiveness and efficiency of the proposed method. The procedure is totally unsupervised without the help of expert knowledge. Thus can b