Llm-rec: Personalized recommendation via prompting large language models
Text-based recommendation holds a wide range of practical applications due to its
versatility, as textual descriptions can represent nearly any type of item. However, directly …
versatility, as textual descriptions can represent nearly any type of item. However, directly …
Trends in content-based recommendation: Preface to the special issue on Recommender systems based on rich item descriptions
Automated recommendations have become a pervasive feature of our online user
experience, and due to their practical importance, recommender systems also represent an …
experience, and due to their practical importance, recommender systems also represent an …
A social-semantic recommender system for advertisements
Social applications foster the involvement of end users in Web content creation, as a result
of which a new source of vast amounts of data about users and their likes and dislikes has …
of which a new source of vast amounts of data about users and their likes and dislikes has …
Movie popularity and target audience prediction using the content-based recommender system
The movie is one of the integral components of our everyday entertainment. The worldwide
movie industry is one of the most growing and significant industries and seizing the attention …
movie industry is one of the most growing and significant industries and seizing the attention …
Applications, methodologies, and technologies for linked open data: A systematic literature review
C Avila-Garzon - International Journal on Semantic Web and …, 2020 - igi-global.com
Advances in semantic web technologies have rocketed the volume of linked data published
on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a …
on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a …
A hybrid recommendation system of upcoming movies using sentiment analysis of youtube trailer reviews
Movies are one of the integral components of our everyday entertainment. In today's world,
people prefer to watch movies on their personal devices. Many movies are available on all …
people prefer to watch movies on their personal devices. Many movies are available on all …
Context-aware graph-based recommendations exploiting personalized pagerank
In this article we present a context-aware recommendation method that exploits graph-
based data models and Personalized PageRank to provide users with recommendations. In …
based data models and Personalized PageRank to provide users with recommendations. In …
Knowledge-aware recommendations based on neuro-symbolic graph embeddings and first-order logical rules
In this paper, we present a knowledge-aware recommendation framework based on neuro-
symbolic graph embeddings that encode first-order logical (FOL) rules. In particular, our …
symbolic graph embeddings that encode first-order logical (FOL) rules. In particular, our …
Dealing with Pure New User Cold‐Start Problem in Recommendation System Based on Linked Open Data and Social Network Features
Preferring accuracy over computation time or vice versa is very challenging in the context of
recommendation systems, which encourages many researchers to opt for hybrid …
recommendation systems, which encourages many researchers to opt for hybrid …
Knowledge graph enhanced neural collaborative filtering with residual recurrent network
Abstract Knowledge Graph (KG), which commonly consists of fruitful connected facts about
items, presents an unprecedented opportunity to alleviate the sparsity problem in …
items, presents an unprecedented opportunity to alleviate the sparsity problem in …