[tdb_mobile_menu menu_id="81451" el_class="plato-left-menu" icon_size="eyJhbGwiOjUwLCJwaG9uZSI6IjMwIn0=" icon_padding="eyJhbGwiOjAuNSwicGhvbmUiOiIxLjUifQ==" tdc_css="eyJhbGwiOnsibWFyZ2luLXRvcCI6IjEwIiwibWFyZ2luLWJvdHRvbSI6IjAiLCJtYXJnaW4tbGVmdCI6IjE1IiwiZGlzcGxheSI6IiJ9LCJwaG9uZSI6eyJtYXJnaW4tdG9wIjoiMCIsIm1hcmdpbi1sZWZ0IjoiMCIsImRpc3BsYXkiOiIifSwicGhvbmVfbWF4X3dpZHRoIjo3Njd9" align_horiz="content-horiz-center" inline="yes" icon_color="#ffffff" icon_color_h="#ffffff"][tdb_header_logo align_vert="content-vert-center" url="https://zephyrnet.com" inline="yes" text="Zephyrnet" image_width="eyJwaG9uZSI6IjM1In0=" img_txt_space="eyJwaG9uZSI6IjEwIn0=" f_text_font_size="eyJwaG9uZSI6IjE4In0=" f_text_font_line_height="eyJwaG9uZSI6IjEuNSJ9" f_text_font_weight="eyJwaG9uZSI6IjcwMCJ9" f_text_font_transform="eyJwaG9uZSI6ImNhcGl0YWxpemUifQ==" f_text_font_family="eyJwaG9uZSI6ImZzXzIifQ==" text_color="#ffffff" text_color_h="var(--accent-color)"]
[tdb_mobile_horiz_menu menu_id="1658" single_line="yes" f_elem_font_family="eyJwaG9uZSI6ImZzXzIifQ==" f_elem_font_weight="eyJwaG9uZSI6IjcwMCJ9" text_color="var(--news-hub-white)" text_color_h="var(--news-hub-accent-hover)" f_elem_font_size="eyJwaG9uZSI6IjE0In0=" f_elem_font_line_height="eyJwaG9uZSI6IjQ4cHgifQ==" elem_padd="eyJwaG9uZSI6IjAgMTVweCJ9" tdc_css="eyJwaG9uZSI6eyJwYWRkaW5nLXJpZ2h0IjoiNSIsInBhZGRpbmctbGVmdCI6IjUiLCJkaXNwbGF5Ijoibm9uZSJ9LCJwaG9uZV9tYXhfd2lkdGgiOjc2N30="]
[tdb_mobile_menu 인라인="예" menu_id="81451" el_class="plato-left-menu" icon_size="50" icon_padding="0.5" tdc_css="eyJhbGwiOnsibWFyZ2luLXRvcCI6IjEwIiwibWFyZ2luLWJvdHRvbSI6IjAiLCJtYXJnaW4tbG VmdCI6IjE1IiwiZGlzcGxheSI6IiJ9fQ==" icon_color="#ffffff" icon_color_h="#ffffff" ]
제퍼넷 로고
[tdb_header_menu main_sub_tdicon="td-icon-down" sub_tdicon="td-icon-right-arrow" mm_align_horiz="content-horiz-center" module_on_row_regular="20%" module_on_row_cats="20%" image_size="td_300x0" module_category= "image" show_excerpt="none" show_com="none" show_date="" show_author="none" mm_sub_align_horiz="content-horiz-right" mm_elem_align_horiz="content-horiz-center" menu_id="81450" show_mega_cats="yes" align_horiz="content-horiz-center" elem_padd="0 30px" main_sub_icon_space="12" mm_width="1192" mm_padd="30px 25px" mm_align_screen="yes" mm_sub_padd="20px 25px 0" mm_sub_border="1px 0 0" mm_elem_space="25" mm_elem_padd="0" mm_elem_border="0" mm_elem_border_a="0" mm_elem_border_rad="0" mc1_title_tag="h2" module_gap="25" excl_txt="프리미엄" excl_margin="0 6px 0 0" excl_padd= "2px 5px 2px 4px" excl_bg="var(--news-hub-accent)" f_excl_font_size="12" f_excl_font_weight="700" f_excl_font_transform="uppercase" meta_padding="20px 0 0" art_title="0 0 10px" show_cat ="없음" show_pagination="비활성화됨" text_color="var(--news-hub-white)" tds_menu_active1-line_color="var(--news-hub-accent)" f_elem_font_size="18" f_elem_font_line_height="64px" f_elem_font_weight ="400" f_elem_font_transform="없음" mm_bg="var(--news-hub-dark-grey)" mm_border_color="var(--news-hub-accent)" mm_subcats_border_color="#444444" mm_elem_color="var( --news-hub-white)" mm_elem_color_a="var(--news-hub-accent-hover)" f_mm_sub_font_size="14" title_txt="var(--news-hub-white)" title_txt_hover="var(- -news-hub-accent-hover)" date_txt="var(--news-hub-light-grey)" f_title_font_line_height="1.25" f_title_font_weight="700" f_meta_font_line_height="1.3" f_meta_font_family="fs_2" tdc_css="eyJhbGwiOnsiYm9yZGVyLXRvcC13a WR0aCI6IjEiLCJib3JkZXItcmlnaHQtd2lkdGgiOiIxIiwiYm9yZGVyLWJvdHRvbS13aWR0aCI6IjEiLCJib3JkZXItbGVmdC13aWR0aCI6IjEiLCJib3JkZXItY29sb3IiOiJ2YXIoLS1uZXd zLWh1Yi1kYXJrLWdyZXkpIiwiZGlzcGxheSI6IiJ9fQ ==" mm_border_size="4px 0 0" f_elem_font_family="fs_2" mm_subcats_bg="var(--news-hub-dark-grey)" mm_elem_bg="rgba(0,0,0,0)" mm_elem_bg_a="rgba( 0,0,0,0)" f_mm_sub_font_family="fs_2" mm_child_cats="10" mm_sub_inline="예" mm_subcats_posts_limit="5"]
빅 데이터 추천 엔진 및 구현에 대한 종합 가이드

추천 엔진 및 구현에 대한 종합 가이드

0
추천 엔진 및 구현에 대한 종합 가이드

이 기사는 Data Science Blogathon의 일부로 게시되었습니다. 개요 1. 소개 2. 추천 엔진이란? 3. 추천제도의 종류 가. 콘텐츠 기반 필터링 b. 협업 필터링 c. 하이브리드 필터링 4. 콘텐츠 기반 필터링이 대규모로 사용되지 않는 이유는 무엇입니까? 5. 추천 엔진 알고리즘 6. 추천 시스템 문제를 해결하는 방법은 무엇입니까? […]

포스트 추천 엔진 및 구현에 대한 종합 가이드 첫 번째 등장 분석 Vidhya.

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