A social recommender system based on reliable implicit relationships
Recommender systems attempt to suggest information that is of potential interest to users
hel** them to quickly find information relevant to them. In addition to historical user–item …
hel** them to quickly find information relevant to them. In addition to historical user–item …
Evaluating explainable social choice-based aggregation strategies for group recommendation
Social choice aggregation strategies have been proposed as an explainable way to
generate recommendations to groups of users. However, it is not trivial to determine the best …
generate recommendations to groups of users. However, it is not trivial to determine the best …
A collaborative filtering algorithm with intragroup divergence for POI group recommendation
Y Liu, M Yin, X Zhou - Applied Sciences, 2021 - mdpi.com
The purpose of POI group recommendation is to generate a recommendation list of locations
for a group of users. Most of the current studies first conduct personal recommendation and …
for a group of users. Most of the current studies first conduct personal recommendation and …
Individual and group decision making and recommender systems
Given that an important function of recommender systems is to help people make better
choices, people who design and study recommender systems ought to have a good …
choices, people who design and study recommender systems ought to have a good …
User-centered evaluation of strategies for recommending sequences of points of interest to groups
Most recommender systems (RSs) predict the preferences of individual users; however, in
certain scenarios, recommendations need to be made for a group of users. Tourism is a …
certain scenarios, recommendations need to be made for a group of users. Tourism is a …
Group recommender systems: Beyond preference aggregation
This chapter addresses the topic of group recommendations, how a system can recommend
to a group of users. This topic has received a considerable attention, especially in recent …
to a group of users. This topic has received a considerable attention, especially in recent …
Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction
Accurate prediction of citywide crowd activity levels (CALs), ie, the numbers of participants of
citywide crowd activities under different venue categories at certain time and locations, is …
citywide crowd activities under different venue categories at certain time and locations, is …
STICAP: Spatio-temporal Interactive Attention for Citywide Crowd Activity Prediction
Accurate citywide crowd activity prediction (CAP) can enable proactive crowd mobility
management and timely responses to urban events, which has become increasingly …
management and timely responses to urban events, which has become increasingly …
CoCo: Quantifying correlations between mobility traces using sensor data from smartphones
As mobility is an important key to many applications, this work proposes a location-less
model to represent mobility that is used to quantify correlations between mobility traces …
model to represent mobility that is used to quantify correlations between mobility traces …
Exploring Time-aware Multi-pattern Group Venue Recommendation in LBSNs
B Liang, X Meng, Y Zhang - ACM Transactions on Information Systems, 2023 - dl.acm.org
Location-based social networks (LBSNs) have become a popular platform for users to share
their activities with friends and families, which provide abundant information for us to study …
their activities with friends and families, which provide abundant information for us to study …