نتایج جستجو برای: grouping recommender systems

تعداد نتایج: 1222972  

Journal: :ACM Computing Surveys 2018

Journal: :Research Journal of Applied Sciences, Engineering and Technology 2013

Journal: :International Journal of Computer Applications 2015

Journal: :Artificial Intelligence Review 2022

Abstract Conversational recommender systems aim to interactively support online users in their information search and decision-making processes an intuitive way. With the latest advances voice-controlled devices, natural language processing, AI general, such received increased attention recent years. Technically, conversational recommenders are usually complex multi-component applications often...

B Honarvar K B Lankarani, L Azadbakht, Reza Safdari, S M Ayyoubzadeh S Zakerabasali Sh Abhari, Sh. R Niakan Kalhori Y Jalilpiran

Background: Nutrition informatics has become a novel approach for registered dietitians to practice in this field and make a profit for health care. Recommendation systems considered as an effective technology into aid users to adjust their eating behavior and achieve the goal of healthier food and diet. The purpose of this study is to review nutrition recommendation systems (NRS) and their cha...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2018

To buy his/her necessities such as books, movies, CD, music, etc., one always trusts others’ oral and written consultations and offers and include them in his/her decisions. Nowadays, regarding the progress of technologies and development of e-business in websites, a new age of digital life has been commenced with the Recommender systems. The most important objectives of these systems include a...

Journal: :international journal of information science and management 0
morteza ghorbani moghaddam university putra malaysia norwati mustapha aida mustapha, nurfadhlina mohd sharef university putra malaysia anousheh elahian virtual university of shiraz, iran

these days, due to growing the e-commerce sites, access to information about items is easier than past. but because of huge amount of information, we need new filtering techniques to find interested information faster and more accurate. therefore recommender systems (rs) introduced for solving this problem. although several recommender approaches have proposed, collaborative filtering (cf) appr...

Recommender systems are important tools for users to identify their preferred items and for businesses to improve their products and services. In recent years, the use of online services for selection and reservation of hotels have witnessed a booming growth. Customer’ reviews have replaced the word of mouth marketing, but searching hotels based on user priorities is more time-consuming. This s...

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