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<collection xmlns="http://www.loc.gov/MARC21/slim">
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  <leader>02368nam a2200217Ia 4500</leader>
  <controlfield tag="001">CTU_237103</controlfield>
  <controlfield tag="008">210402s9999    xx            000 0 und d</controlfield>
  <datafield tag="082" ind1=" " ind2=" ">
   <subfield code="a">780.285</subfield>
  </datafield>
  <datafield tag="082" ind1=" " ind2=" ">
   <subfield code="b">Tr106</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
   <subfield code="a">Nguyễn, Thị Trang</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
   <subfield code="a">Hệ thống gợi ý nhạc dựa vào đặc trưng thời gian nghe nhạc :</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
   <subfield code="b">Luận văn tốt nghiệp Cao học. Ngành khoa học máy tính</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
   <subfield code="c">Nguyễn Thị Trang ; Trần Nguyễn Minh Thư (Cán bộ hướng dẫn)</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="a">Cần Thơ</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="b">Trường Đại học Cần Thơ</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="c">2020</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
   <subfield code="a">Để đưa ra gợi ý phù hợp, hầu hết các hệ thống gợi ý trong lĩnh vực âm nhạc thường tập trung vào mối quan hệ về đặc điểm giữa người dùng trước đây với người dùng tương tự hiện tại. Tuy nhiên, việc nghe nhạc cũng tuỳ vào thời điểm mà người nghe sẽ chọn những bài hát khác nhau. Trong nghiên cứu này, hệ thống gợi ý dựa trên thời điểm nghe như buổi sáng, buổi trưa, buổi tối, ngày trong tuần, cuối tuần, vv được xây dựng và thực nghiệm. Để có được danh sách gợi ý phù hợp, người dùng có cùng thói quen nghe được phân loại bằng cách sử dụng thuật toán phân cụm k-means kết hợp với thuật toán lọc cộng tác. Phương pháp đề xuất đã được đánh giá bằng thực nghiệm trên tập dữ liệu Lastfm-dataset-1k. Kết quả thử nghiệm cho thấy thuật toán đề xuất đã cải thiện đáng kể thời gian thực hiện (với số cụm k = 4, thời gian tính toán giảm từ 364 giờ xuống còn 54 giờ) và độ chính xác của nó tương đương với kỹ thuật lọc cộng tác truyền thống (Độ chính xác = 12.7 %).</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
   <subfield code="a">Music,Âm nhạc</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
   <subfield code="x">Data processing,Xử lý dữ liệu</subfield>
  </datafield>
  <datafield tag="904" ind1=" " ind2=" ">
   <subfield code="i">Tuyến</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
   <subfield code="a">Trung tâm Học liệu Trường Đại học Cần Thơ</subfield>
  </datafield>
 </record>
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