A survey on conversational recommender systems
Recommender systems are software applications that help users to find items of interest in
situations of information overload. Current research often assumes a one-shot interaction …
situations of information overload. Current research often assumes a one-shot interaction …
Recommender systems—beyond matrix completion
Recommender systems â•fl beyond matrix completion Page 1 94 COMMUNICATIONS OF THE
ACM | NOVEMBER 2016 | VOL. 59 | NO. 11 review articles THE USE OF recommender systems …
ACM | NOVEMBER 2016 | VOL. 59 | NO. 11 review articles THE USE OF recommender systems …
[PDF][PDF] 个性化推荐系统的研究进展
刘建国， 周涛， 汪秉宏 - 自然科学进展, 2009 - nsfc.gov.cn
摘要互联网技术的迅猛发展把我们带进了信息爆炸的时代. 海量信息的同时呈现,
一方面使用户很难从中发现自己感兴趣的部分, 另一方面也使得大量少人问津的信息成为网络中 …
一方面使用户很难从中发现自己感兴趣的部分, 另一方面也使得大量少人问津的信息成为网络中 …
Artificial intelligence and the new forms of interaction: Who has the control when interacting with a chatbot?
Advances in artificial intelligence provide new tools of digital assistance that retailers can
use to support consumers while shopping. The aim of this research is to examine how …
use to support consumers while shopping. The aim of this research is to examine how …
Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis
The main goal of this research is to provide a comprehensive understanding of the actual
progresses in artificial intelligence, with emphasis on chatbots as emerging forms of …
progresses in artificial intelligence, with emphasis on chatbots as emerging forms of …
[图书][B] Recommender systems: an introduction
In this age of information overload, people use a variety of strategies to make choices about
what to buy, how to spend their leisure time, and even whom to date. Recommender …
what to buy, how to spend their leisure time, and even whom to date. Recommender …
How should I explain? A comparison of different explanation types for recommender systems
Recommender systems help users locate possible items of interest more quickly by filtering
and ranking them in a personalized way. Some of these systems provide the end user not …
and ranking them in a personalized way. Some of these systems provide the end user not …
[图书][B] Knowledge-based configuration: From research to business cases
Knowledge-based Configuration incorporates knowledge representation formalisms to
capture complex product models and reasoning methods to provide intelligent interactive …
capture complex product models and reasoning methods to provide intelligent interactive …
Interacting with recommenders—overview and research directions
Automated recommendations have become a ubiquitous part of today's online user
experience. These systems point us to additional items to purchase in online shops, they …
experience. These systems point us to additional items to purchase in online shops, they …
Recommender systems: A systematic review of the state of the art literature and suggestions for future research
F Alyari, N Jafari Navimipour - Kybernetes, 2018 - emerald.com
Purpose This paper aims to identify, evaluate and integrate the findings of all relevant and
high-quality individual studies addressing one or more research questions about …
high-quality individual studies addressing one or more research questions about …