Results 61 to 70 of about 693,638 (193)

ANALYSIS OF CONTENT RECOMMENDATION METHODS IN INFORMATION SERVICES

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
The object of the research is the process of selecting a content recommendation method in information services. The study's relevance stems from the rapid development of informational and entertainment resources and the increasing volume of data they ...
Oleksandr Necheporuk, Svitlana Vashchenko, Nataliia Fedotova, Iryna Baranova, Yaroslava Dehtiarenko   +4 more
doaj   +1 more source

StarSpace: Embed All The Things!

, 2017
We present StarSpace, a general-purpose neural embedding model that can solve a wide variety of problems: labeling tasks such as text classification, ranking tasks such as information retrieval/web search, collaborative filtering-based or content-based ...
Adams, Keith, Bordes, Antoine, Chopra, Sumit, Fisch, Adam, Weston, Jason, Wu, Ledell   +5 more
core   +1 more source

Hybrid Collaborative Filtering and Content-Based Filtering for Improved Recommender System [PDF]

, 2004
The growth of the Internet has resulted in an increasing need for personalized information systems. The paper describes an autonomous agent, WebBot: Web Robot Agent, which integrates with the web and acts as a personal recommender system that cooperates with the user on identifying interesting pages.
Kyung-Yong Jung, Dong-Hyun Park, Jung-Hyun Lee   +2 more
openaire   +1 more source

An improved switching hybrid recommender system using naive Bayes classifier and collaborative filtering

, 2010
Recommender Systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource.
Ghazanfar, Mustansar, Prugel-Bennett, Adam   +1 more
core  

Pekalongan Regency Tourism Recommendation System with Content based Filtering

Sistemasi: Jurnal Sistem Informasi
This study implements content-based filtering for a tourist recommendation system in Pekalongan Regency. The method utilizes the TF-IDF algorithm to measure the weight of tourist attraction categories and cosine similarity to assess the similarity ...
Cinta Salsabilla, Danang Wahyu Utomo
doaj   +1 more source

Preference Networks: Probabilistic Models for Recommendation Systems [PDF]

, 2014
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Preference Network (PN) that jointly models various types of domain knowledge for ...
Phung, Dinh Q., Truyen, Tran The, Venkatesh, Svetha   +2 more
core   +1 more source

Content Based Document Recommender using Deep Learning

, 2017
With the recent advancements in information technology there has been a huge surge in amount of data available. But information retrieval technology has not been able to keep up with this pace of information generation resulting in over spending of time ...
Nikhil, Nishant, Srivastava, Muktabh Mayank   +1 more
core   +1 more source

Hybrid-Based Movie Recommender System: Techniques, Case Studies, Evaluation Metrics, and Future Trends

Journal of Informatics and Web Engineering
The necessity for sophisticated recommender systems in the movie recommendation sphere has become particularly pronounced, generating a more personalized movie recommendation due to people nowadays who like to watch movies online.
Cheng-Yung Lai, Noramiza Hashim, Lucia Dwi Krisnawati   +2 more
doaj   +3 more sources

Hybrid Approach for a Knowledge Recommender Service: A Combination of Item-Based and Tag-Based Recommendation

Walailak Journal of Science and Technology, 2017
An exponentially increasing of knowledge in a knowledge management system is the main cause of the knowledge overload problem. A development of knowledge recommender service embedded in the knowledge management system becomes a challenging task.
Winyu NIRANATLAMPHONG, Worasit CHOOCHAIWATTANA   +1 more
doaj  

Aceh Province Tourism Destination Recommendation System using Content based Filtering Method

Sistemasi: Jurnal Sistem Informasi
Tourists often experience difficulties in finding tourist destinations in Aceh Province that match their content preferences and are geographically close to their location.
Ariefhan Maulana, Arif Nur Rohman, Yoga Pristyanto   +2 more
doaj   +1 more source