Social media recommendation based on people and tags

By Ido Guy, Naama Zwerdling, Inbal Ronen, David Carmel, Erel Uziel. 2010

347 citations recorded by the source corpus.

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In Information Systems

Citations in the corpus

Ask the GRU: Multi-task Learning for Deep Text Recommendations (2016, background): “Examples of text recommendations include recommending blogs, social media posts [1], news articles [2, 3], movies (based on plot summaries), products (based on reviews) [4] and research papers [5].”
Interactive Visual Profiling of Musicians (2016, background): “[28] is based on relationship information among people.”
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (2017, background): “as 4G, mobile news portals or news feed services including social media posts [17] and news articles [6, 34] have gained signicant”
A systematic review and taxonomy of explanations in decision support and recommender systems (2017, methodology): “Effectiveness Confidence+Sensor Data with Low Robot Ability [237] Decisive Input Values [213] Derived Topic Models and Time Intervals [199] Explanation Interfaces [183] Peer Graph Navigation [171] Tag-based [231] Transparency Confidence+Sensor Data with Low Robot Ability [237] Decisive Input Values ”
Returning the N to NLP: Towards Contextually Personalized Classification Models (2020, background): “Acknowledging the potential of personalizing via similar or related users, the focus moved towards exploiting information from user’s social networks (Guy et al., 2010; De Fran-cisci Morales et al., 2012; Guy et al., 2009).”
Ratings meet reviews, a combined approach to recommend (2014, background): “For items, the top topic words can be employed as extended tags attached to the item and may improve the prediction accuracy in a tag-aware recommender system [5].”