مطالعه مروری بر سیستم‌های توصیه‌گر حوزه چندرسانه‌ای
الموضوعات : هوش مصنوعی و رباتیکسعیده ممتازی 1 , زهرا پوربهمن 2 , محمدرضا عزیزی 3 , میثم باقری 4
1 - دانشگاه صنعتی امیرکبیر
2 - دانشگاه صنعتی امیرکبیر
3 - دانشکده مهندسی کامپیوتر دانشگاه صنعتی امیرکبیر تهران ایران
4 - شرکت آپاسای سیستم
الکلمات المفتاحية: سیستم‌های توصیه‌گر مبتنی بر محتوا, سیستم‌های توصیه‌گر در صنعت, پیکره دادگان جهت سیستم‌های توصیه‌گر مبتنی بر محتوا,
ملخص المقالة :
پژوهش حاضر یک مقاله مروری1 محسوب می‌شود که به‌مرور جامعی بر سیستم‌های توصیه‌گر چندرسانه‌ای با تمرکز بر رویکردهای مبتنی بر محتوا می‌پردازد. تنوع و کثرت داده‌ها در وب، متخصصان را بر آن داشته است که برای پیش‌بینی خودکار محتوای موردعلاقه کاربر به پژوهش و توسعه سیستم‌های توصیه‌گر بپردازند. در پژوهش پیش رو به معرفی انواع سیستم‌های توصیه‌گر که عبارت هستند از پالایش مشارکتی، مبتنی بر محتوا و ترکیبی است پرداخته شد. سپس به بررسی 47 مقاله با محوریت سیستم‌های توصیه‌گر مبتنی بر محتوا در سه بخش توصیه فیلم، موسیقی و برنامه تلویزیونی مبادرت شد. به‌علاوه، رویکردهای مورداستفاده در سیستم‌های توصیه‌گر مورداستفاده در شرکت‌های بزرگ و مشهور جهان مانند نتفلیکس، یوتیوب، فیسبوک، آمازون و تیک‌تاک به‌تفصیل موردبررسی قرار گرفت. با توجه به اهمیت پیکره مورداستفاده در سیستم‌های توصیه‌گر به معرفی مجموعه دادگان MMTF-14K, MovieLens و Spotify Audio Features نیز پرداخته شد. با توجه به پژوهش انجام‌شده، واضح است که اکنون بسیاری از سیستم‌های توصیه‌گر کاربردی در شرکت‌های بزرگ از رویکرد مبتنی بر محتوا برای توصیه بهره گرفته‌اند.
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