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Found 4 papers, 1 papers with code
AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports
In our few-shot scenario, we find that for identifying the MITRE ATT&CK concepts that are mentioned explicitly or implicitly in a text, concept descriptions from MITRE ATT&CK are an effective source for training data augmentation.
Recommendations by Concise User Profiles from Review Text
Recommender systems are most successful for popular items and users with ample interactions (likes, ratings etc.).
You Get What You Chat: Using Conversations to Personalize Search-based Recommendations
The paper develops an expressive model and effective methods for personalizing search-based entity recommendations.
Personalized Entity Search by Sparse and Scrutable User Profiles
Prior work on personalizing web search results has focused on considering query-and-click logs to capture users individual interests.
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