@article{oai:senshu-u.repo.nii.ac.jp:00007858,
 author = {志甫, 有真 and 谷川, 奈穂 and 馬場, 隆 and 菊地, 宏治 and 片山, 翔太 and 高野, 祐一 and 中田, 和秀},
 journal = {情報科学研究},
 month = {Mar},
 note = {A growing number of retailers offer products/services via the Internet as well as at brick-and-mortar stores. These multiple marketing channels increase the opportunity for customers to buy. In addition, retailers can analyze detailed customer information gained from multi-channel shopping in order to improve their service quality. In view of these facts, we develop a specialized recommender method based on the weighted non-negative matrix factorization to expand the number of customers that make use of multiple marketing channels. Our method effectively uses the similarities of customers and products to promote customers' multi-channel shopping. Computational results demonstrate that our method delivers better recommendation performance than the existing recommender methods.},
 pages = {1--10},
 title = {複数の販売チャネルでの購入を促進するための商品推薦手法},
 volume = {36},
 year = {2016}
}