نتایج جستجو برای: content based filtering

تعداد نتایج: 3273971  

Journal: :IEEE Access 2022

Because a user’s behavior depends mainly on the current interests, which can change over time, sequential recommendation approach has become more prevalent in recommender systems. Many methods have been proposed that aim to model recommendations. One of these is BERT4Rec, applies bidirectional-encoder-representations-from-transformers (BERT) technique user sequences by considering target...

2013
Igor Santos Igor Miñambres-Marcos Carlos Laorden Patxi Galán-García Aitor Santamaría-Ibirika Pablo García Bringas

Twitter has become one of the most used social networks. And, as happens with every popular media, it is prone to misuse. In this context, spam in Twitter has emerged in the last years, becoming an important problem for the users. In the last years, several approaches have appeared that are able to determine whether an user is a spammer or not. However, these blacklisting systems cannot filter ...

Journal: :Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer 2019

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد گرمسار - دانشکده علوم انسانی 1389

عنوان پایان نامه تاثیر آموزش معنا محور بر مهارت خواندن زبان آموزان سطح متوسط ایرانی است. طی سالهای اخیر با ارائه نظریات جدید آموزشی تمرکز از فرم به معنا تغییر کرده است. همراه با نظریه استفان کرشن مبنی بر ارائه مطالب قابل فهم برای آموزش زبان روشهای جدیدی همچون content-based instruction و task based instruction پا به عرصه وجود گذاشتند که همه جزو روشهای communicative می باشند. در این تحقیق با ا...

In the present era, the amount of information grows exponentially. So, finding the required information among the mass of information has become a major challenge. The success of e-commerce systems and online business transactions depend greatly on the effective design of products recommender mechanism. Providing high quality recommendations is important for e-commerce systems to assist users i...

Journal: :IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 2021

Journal: :Computer Engineering, Science and System Journal 2018

The recommender systems are models that are to predict the potential interests of users among a number of items. These systems are widespread and they have many applications in real-world. These systems are generally based on one of two structural types: collaborative filtering and content filtering. There are some systems which are based on both of them. These systems are named hybrid recommen...

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