Personalized context-aware point of interest recommendation
M Aliannejadi, F Crestani - ACM Transactions on Information Systems …, 2018 - dl.acm.org
Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users
on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic …
on Location-Based Social Networks (LBSNs). In this article, we propose a probabilistic …
Joint geographical and temporal modeling based on matrix factorization for point-of-interest recommendation
With the popularity of Location-based Social Networks, Point-of-Interest (POI)
recommendation has become an important task, which learns the users' preferences and …
recommendation has become an important task, which learns the users' preferences and …
Relevance models for multi-contextual appropriateness in point-of-interest recommendation
Trip-qualifiers, such as' trip-type'(vacation, work etc.),'accompanied-by'(eg, solo, friends,
family etc.) are potentially useful sources of information that could be used to improve the …
family etc.) are potentially useful sources of information that could be used to improve the …
Tag embedding based personalized point of interest recommendation system
E-tourism websites such as Foursquare, Tripadvisor, Yelp etc. allow users to rate the
preferences for the places they have visited. Along with ratings, the services allow users to …
preferences for the places they have visited. Along with ratings, the services allow users to …
Kernel density estimation based factored relevance model for multi-contextual point-of-interest recommendation
An automated contextual suggestion algorithm is likely to recommend contextually
appropriate and personalized 'points-of-interest'(POIs) to a user, if it can extract information …
appropriate and personalized 'points-of-interest'(POIs) to a user, if it can extract information …
A collaborative ranking model with multiple location-based similarities for venue suggestion
Recommending venues plays a critical rule in satisfying users' needs on location-based
social networks. Recent studies have explored the idea of adopting collaborative ranking …
social networks. Recent studies have explored the idea of adopting collaborative ranking …
Venue appropriateness prediction for personalized context-aware venue suggestion
M Aliannejadi, F Crestani - Proceedings of the 40th International ACM …, 2017 - dl.acm.org
Personalized context-aware venue suggestion plays a critical role in satisfying the users'
needs on location-based social networks (LBSNs). In this paper, we present a set of novel …
needs on location-based social networks (LBSNs). In this paper, we present a set of novel …
Where should I go? A deep learning approach to personalize type-based facet ranking for POI suggestion
In a faceted search system, type-based facets (t-facets) represent the categories of the
resources being searched. Ranking algorithms are needed to select and promote the most …
resources being searched. Ranking algorithms are needed to select and promote the most …
Retrievability based document selection for relevance feedback with automatically generated query variants
To mitigate the problem of over-dependence of a pseudo-relevance feedback algorithm on
the top-M document set, we make use of a set of equivalence classes of queries rather than …
the top-M document set, we make use of a set of equivalence classes of queries rather than …
Point-of-interest recommendation system based on deepwalk and tensor decomposition
X Zhai, W Zheng, Y Xiao, K Liu - 2022 IEEE 25Th international …, 2022 - ieeexplore.ieee.org
With the popularization of mobile devices and the development of satellite positioning
technology, it is more convenient to collect the travel data of users. A large amount of user …
technology, it is more convenient to collect the travel data of users. A large amount of user …