Incorporating multidimensional information into dynamic recommendation process to cope with cold start and data sparsity problems
M Kolahkaj, A Harounabadi… - Journal of ambient …, 2021 - Springer
… context and user’s attributes into the recommendation process. The proposed approach
extends the collaborative … incorporate multi-dimensional data into the recommendation process …
extends the collaborative … incorporate multi-dimensional data into the recommendation process …
Dual attention transfer in session-based recommendation with multi-dimensional integration
… In particular, collaborative filtering method [23] based on item … global context information
and reversed position vectors. … network information and context information to enhance the …
and reversed position vectors. … network information and context information to enhance the …
A systematic analysis on the impact of contextual information on point-of-interest recommendation
… collaborative ranking algorithm for POI recommendation that … Their self-attentive encoder
adopts a multi-dimensional … Finally, to integrate the proposed models with the contextual …
adopts a multi-dimensional … Finally, to integrate the proposed models with the contextual …
Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment
… recommendations significantly. Considering this drawback, this paper proposes a multi-dimensional
quality ensemble-driven recommendation … LSH recommendation approach is …
quality ensemble-driven recommendation … LSH recommendation approach is …
Research on context-awareness mobile tourism e-commerce personalized recommendation model
H Pan, Z Zhang - Journal of Signal Processing Systems, 2021 - Springer
… and finally refers to idea recommended by collaborative filtering recommendation to …
recommendation model-MTERec, which integrates multi-dimensional context social information …
recommendation model-MTERec, which integrates multi-dimensional context social information …
[HTML][HTML] Mobile personalized recommendation model based on privacy concerns and context analysis for the sustainable development of M-commerce
L Xiao, Q Lu, F Guo - Sustainability, 2020 - mdpi.com
… user-based collaborative filtering recommendation integrated with … multi-dimensional
contexts, and improving recommendation … Then, it integrated the location information into the …
contexts, and improving recommendation … Then, it integrated the location information into the …
A contextual recurrent collaborative filtering framework for modelling sequences of venue checkins
… and context (eg the time of the day or the user’s current location). … to incorporate the contextual
information associated with the … context-aware venue recommendations, by integrating the …
information associated with the … context-aware venue recommendations, by integrating the …
Personalized context-aware collaborative online activity prediction
… history with time and location context information, we want to … a prevalent multidimensional
collaborative recommendation … SoCo [76]: SoCo integrates social and contextual information …
collaborative recommendation … SoCo [76]: SoCo integrates social and contextual information …
Privacy-preserving and sparsity-aware location-based prediction method for collaborative recommender systems
… -item rating matrix and other contextual movie similarity matrices to integrate contextual …
location-aware collaborative recommendation model to obtain an optimized recommendation. …
location-aware collaborative recommendation model to obtain an optimized recommendation. …
Multi-dimensional graph neural network for sequential recommendation
… a Category and Time information integrated Graph Neural … They are adept at modeling
complex contextual relationships … The traditional recommendation models based on collaborative …
complex contextual relationships … The traditional recommendation models based on collaborative …