Context-aware systems, Text analysis, Short text analysis, Sentiment analysis, Recommender Systems, Emotions detection in text.

Text analysis, Emotions detection in text, Sentiment analysis, Recommender Systems, Reviews Usefulness.

Developing recommender systems based on user profiling and context.In our research we used machine learning technics; classification tools include Naive Bayes, SVM and k-nearest neighbor; Complex networks, community detection algorithms; data mining, NLP and semantic analysis technics.In another project we did an Empirical Study on Multi-Domain Recommendations.In this study we empirically evaluate cross domain recomender systems, using collaborative filter with matrix factorization.

Project manager of two large scale infrastructure command and control projects in Israel, in collaboration with the Israeli police and the Israeli diamond exchange.Software product development engineer. Involved in the full life cycle of the product, including requirement definitions, prototyping, proof of concept, development and testing.In my work I specialized in developing with Vb.Net (Framework1, 2) especially Windows Applications in client-server model at all levels of development: user interface, data access layer and business logic, working mainly with MSSQL database. I also have experience in developing Web Services and Web applications.

Teach mathematical and software courses for college students.Aided at-risk children in their studies and social skills, supported homework activities.