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Recommender systems (Information filtering)

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It is our great pleasure to welcome you to the 2017 ACM Conference on Recommender Systems (RecSys 2017), held in Como, Italy, from August 27th though 31st. The ACM Recommender Systems conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an enduser's preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world's leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender systems research. RecSys 2017, is the eleventh conference in this series. It brings together researchers and practitioners from the academia and industry to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, RecSys 2017 program features keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium. The program for RecSys 2017 reflects the growth of the Recommender Systems community. For the third time in the history of RecSys we offer two parallel tracks during the three days of the main conference with 106 contributions including 46 technical papers, 9 doctoral symposium papers, 12 industry papers, five tutorials, four keynotes, seven demos and 23 posters. We again offer an extensive pre- and post-conference program with twelve workshops, the RecSys Challenge and the doctoral symposium, which was held at Free University of Bozen-Bolzano on August 25th. Building on the tradition established by previous years, RecSys 2017 features a strong focus on significant real-world challenges facing industrial practitioners and practical solutions to those challenges. The three industry sessions feature a rich set of talks from: Microsoft, Electronic Arts, Dressipi, Farfetch, Netflix, AirBnB, Skyscanner, CloudAcademy, LinkedIn, Blendle, Aptus and Cheetah Mobile. A wide range of domains are represented in these sessions including eCommerce, news, advertising, recruiting, movies, television, fashion, tourism and eLearning. This year's conference has truly been a product of the vibrant and supportive community, and the vast cohort of amazing volunteers. We would like to thank all the members of the organizing committee for their generosity, initiative, and brilliant execution. We are tremendously grateful to the 25 senior and 145 regular Program Committee members, who volunteered their time and generated around 750 detailed reviews and 400 discussion comments.

Recommender systems (Information filtering)

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Recommender systems (Information filtering)

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Computer science. --- Recommender systems --- Personalization --- Neural networks

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Recommender systems (Information filtering) --- Online social networks