POI recommendation for random groups based on cooperative graph neural networks
Abstract Group Point-of-Interests (POI) recommendation devotes to find the optimal POIs for
groups, which has extracted extensive attention. This work first brings forward a novel POI …
groups, which has extracted extensive attention. This work first brings forward a novel POI …
Enhancing the accuracy of group recommendation using slope one
Recommender systems provide personalized suggestions to users regarding products and
services. These recommendations are generated for individual users only. However, group …
services. These recommendations are generated for individual users only. However, group …
Group recommendation exploiting characteristics of user-item and collaborative rating of users
Recommender Systems have gained popularity in recent years due to their ability to
expedite users' selection processes quickly. Traditional recommender systems mainly focus …
expedite users' selection processes quickly. Traditional recommender systems mainly focus …
[HTML][HTML] A graph neural approach for group recommendation system based on pairwise preferences
Pairwise preference information, which involves users expressing their preferences by
comparing items, plays a crucial role in decision-making and has recently found application …
comparing items, plays a crucial role in decision-making and has recently found application …
[HTML][HTML] A novel healthy food recommendation to user groups based on a deep social community detection approach
Existing food recommendation models have typically suggested foods or recipes to single
users. However, in reality, users may be members of a group, family, or community, requiring …
users. However, in reality, users may be members of a group, family, or community, requiring …
A similarity-enhanced hybrid group recommendation approach in cloud manufacturing systems
J Liu, Y Chen, Q Liu, B Tekinerdogan - Computers & Industrial Engineering, 2023 - Elsevier
With the development of cloud manufacturing (CMfg), a huge amount of services appears on
the Internet, which makes recommender systems in CMfg service a promising research field …
the Internet, which makes recommender systems in CMfg service a promising research field …
State of art and emerging trends on group recommender system: a comprehensive review
A group recommender system (GRS) generates suggestions for a group of individuals,
considering not only each person's preferences but also factors such as social dynamics …
considering not only each person's preferences but also factors such as social dynamics …
Aggregating user preferences in group recommender systems: A crowdsourcing approach
F Ismailoglu - Decision Support Systems, 2022 - Elsevier
We present that group recommendations are similar to crowdsourcing, where the responses
of different crowd workers are aggregated in the absence of ground truth. With this in mind …
of different crowd workers are aggregated in the absence of ground truth. With this in mind …
A fuzzy intelligent group recommender method in sparse-data environments based on multi-agent negotiation
P Ji, X Ma - Expert Systems with Applications, 2023 - Elsevier
Recommender systems have attracted numerous scholars' attention. Group recommender is
a fashionable though challenging topic in the field of recommender systems. Most methods …
a fashionable though challenging topic in the field of recommender systems. Most methods …
Enhancing group recommender systems: A fusion of social tagging and collaborative filtering for cohesive recommendations
This study examines the challenges and opportunities of using group recommendation
systems in an information overload scenario. Social network recommendation systems are …
systems in an information overload scenario. Social network recommendation systems are …