Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems Guibing Guo Nanyang Technological University, Singapore

Source URL: www.luckymoon.me

• Recommender systems
• Collective intelligence
• Collaboration
• Information science
• Information
• Social information processing
• Collaborative filtering
• Cold start
• Rating scale
• Star
• Similarity
• Robust collaborative filtering

UMDuluth-BlueTeam : SVCSTS - A Multilingual and Chunk Level Semantic Similarity System Sakethram Karumuri Viswanadh Kumar Reddy Vuggumudi Sai Charan Raj Chitirala Department of Computer Science

Source URL: alt.qcri.org

Concept-Based Information Retrieval using Explicit Semantic Analysis OFER EGOZI, SHAUL MARKOVITCH, and EVGENIY GABRILOVICH Technion—Israel Institute of Technology Information retrieval systems traditionally rely on te

Source URL: www.cs.technion.ac.il

• Information science
• Information retrieval
• Natural language processing
• Explicit semantic analysis
• Evgeniy Gabrilovich
• Semantic similarity
• Document retrieval
• Search engine indexing
• Subject
• Query expansion
• Relevance
• Document classification

Vol. 19 no, pages 390–395 DOI: bioinformatics/btf870 BIOINFORMATICS SimiTri—visualizing similarity relationships for

Source URL: www.compsysbio.org

Azmat: Sentence Similarity using Associative Matrices Evan Jaffe Lifeng Jin David King

Source URL: alt.qcri.org

Deep Learning for Semantic Similarity Jacek Skryzalin Department of Mathematics Stanford University

Source URL: cs224d.stanford.edu

Integrating Trust and Similarity to Ameliorate the Data Sparsity and Cold Start for Recommender Systems Guibing Guo School of Computer Engineering Nanyang Technological University, Singapore

Source URL: www.luckymoon.me

• Information science
• Recommender systems
• Computing
• Information retrieval
• Collective intelligence
• Information systems
• User interface techniques
• Collaborative filtering
• Cold start
• MovieLens
• Personalization
• Information filtering system

DLS@CU: Sentence Similarity from Word Alignment and Semantic Vector Composition † Md Arafat Sultan† , Steven Bethard‡ , Tamara Sumner† Institute of Cognitive Science and Department of Computer Science

Source URL: alt.qcri.org

FCICU: The Integration between Sense-Based Kernel and SurfaceBased Methods to Measure Semantic Textual Similarity Basma Hassan Computer Science Department, Faculty of Computers and Information Fayoum University

Source URL: alt.qcri.org

From senses to texts: An all-in-one graph-based approach for measuring semantic similarity

Source URL: wwwusers.di.uniroma1.it