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Bundel Jurnal ACM Transactions on Information Systems : Understanding Faceted Search from Data Science and Human Factor Perspectives / Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines / MMALFM: Explainable Recommendation by Leveraging Reviews and Images / Fine-grained Geolocation of Tweets in Temporal Proximity / Spatiotemporal Representation Learning for Translation-Based POI Recommendation / Attentive Long Short-Term Preference Modeling for Personalized Product Search / Gaussian Processes for Rumour Stance Classification in Social Media / ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis / A Context-Aware User-Item Representation Learning for Item Recommendation / A Multi-View-Based Collective Entity Linking Method / Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection / Handling Massive N-Gram Datasets Efficiently / Learning from Multi-annotator Data: A Noise-aware Classification Framework / Temporal Relational Ranking for Stock Prediction

Bundel Jurnal ACM Transactions on Information Systems : Understanding Faceted Search from Data Science and Human Factor Perspectives / Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines / MMALFM: Explainable Recommendation by Leveraging Reviews and Images / Fine-grained Geolocation of Tweets in Temporal Proximity / Spatiotemporal Representation Learning for Translation-Based POI Recommendation / Attentive Long Short-Term Preference Modeling for Personalized Product Search / Gaussian Processes for Rumour Stance Classification in Social Media / ELSA: A Multilingual Document Summarization Algorithm Based on Frequent Itemsets and Latent Semantic Analysis / A Context-Aware User-Item Representation Learning for Item Recommendation / A Multi-View-Based Collective Entity Linking Method / Risk-Sensitive Learning to Rank with Evolutionary Multi-Objective Feature Selection / Handling Massive N-Gram Datasets Efficiently / Learning from Multi-annotator Data: A Noise-aware Classification Framework / Temporal Relational Ranking for Stock Prediction

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