320 citations · 502 across the 5 of their papers we have counts for
5 papers
Reciprocal Recommender Systems: Analysis of State-of-Art Literature, Challenges and Opportunities towards Social Recommendation
Ivan Palomares, Carlos Porcel, Luiz Pizzato +2
There exist situations of decision-making under information overload in the Internet, where people have an overwhelming number of available options to choose from, e.g. products to…
Beyond Personalization: Research Directions in Multistakeholder Recommendation
Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke +5
Recommender systems are personalized information access applications; they are ubiquitous in today's online environment, and effective at finding items that meet user needs and tas…
Node Embedding over Temporal Graphs
Uriel Singer, Ido Guy, Kira Radinsky
In this work, we present a method for node embedding in temporal graphs. We propose an algorithm that learns the evolution of a temporal graph's nodes and edges over time and incor…
Implicit Dimension Identification in User-Generated Text with LSTM Networks
Victor Makarenkov, Ido Guy, Niva Hazon +3
In the process of online storytelling, individual users create and consume highly diverse content that contains a great deal of implicit beliefs and not plainly expressed narrative…
Fun Facts: Automatic Trivia Fact Extraction from Wikipedia
David Tsurel, Dan Pelleg, Ido Guy +1
A significant portion of web search queries directly refers to named entities. Search engines explore various ways to improve the user experience for such queries. We suggest augme…