Pick & merge: an efficient item filtering scheme for Windows store recommendations

Adi Makmal, Jonathan Ephrath, Hilik Berezin, Liron Allerhand, Nir Nice, Noam Koenigstein. Pick & merge: an efficient item filtering scheme for Windows store recommendations. In Toine Bogers, Alan Said, Peter Brusilovsky, Domonkos Tikk, editors, Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2017, Copenhagen, Denmark, September 16-20, 2019. pages 472-476, ACM, 2019. [doi]

@inproceedings{MakmalEBANK19,
  title = {Pick & merge: an efficient item filtering scheme for Windows store recommendations},
  author = {Adi Makmal and Jonathan Ephrath and Hilik Berezin and Liron Allerhand and Nir Nice and Noam Koenigstein},
  year = {2019},
  doi = {10.1145/3298689.3347005},
  url = {https://doi.org/10.1145/3298689.3347005},
  researchr = {https://researchr.org/publication/MakmalEBANK19},
  cites = {0},
  citedby = {0},
  pages = {472-476},
  booktitle = {Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2017, Copenhagen, Denmark, September 16-20, 2019},
  editor = {Toine Bogers and Alan Said and Peter Brusilovsky and Domonkos Tikk},
  publisher = {ACM},
  isbn = {978-1-4503-6243-6},
}