[HTML][HTML] Identifying machine learning techniques for classification of target advertising
There have been numerous applications of artificial intelligence (AI) technologies to online
advertising, especially to optimize the reach of target audiences. Previous studies show that …
advertising, especially to optimize the reach of target audiences. Previous studies show that …
Fused matrix factorization with geographical and social influence in location-based social networks
Recently, location-based social networks (LBSNs), such as Gowalla, Foursquare, Facebook,
and Brightkite, etc., have attracted millions of users to share their social friendship and their …
and Brightkite, etc., have attracted millions of users to share their social friendship and their …
Learning geographical preferences for point-of-interest recommendation
The problem of point of interest (POI) recommendation is to provide personalized
recommendations of places of interests, such as restaurants, for mobile users. Due to its …
recommendations of places of interests, such as restaurants, for mobile users. Due to its …
A general geographical probabilistic factor model for point of interest recommendation
The problem of point of interest (POI) recommendation is to provide personalized
recommendations of places, such as restaurants and movie theaters. The increasing …
recommendations of places, such as restaurants and movie theaters. The increasing …
Model ensemble for click prediction in bing search ads
X Ling, W Deng, C Gu, H Zhou, C Li, F Sun - Proceedings of the 26th …, 2017 - dl.acm.org
Accurate estimation of the click-through rate (CTR) in sponsored ads significantly impacts
the user search experience and businesses' revenue, even 0.1% of accuracy improvement …
the user search experience and businesses' revenue, even 0.1% of accuracy improvement …
[PDF][PDF] A survey of point-of-interest recommendation in location-based social networks
With the rapid development of mobile devices, global position system (GPS) and Web 2.0
technologies, location-based social networks (LBSNs) have attracted millions of users to …
technologies, location-based social networks (LBSNs) have attracted millions of users to …
Low-rank matrix approximation with manifold regularization
This paper proposes a new model of low-rank matrix factorization that incorporates manifold
regularization to the matrix factorization. Superior to the graph-regularized nonnegative …
regularization to the matrix factorization. Superior to the graph-regularized nonnegative …
POI recommendation: A temporal matching between POI popularity and user regularity
Point of interest (POI) recommendation, which provides personalized recommendation of
places to mobile users, is an important task in location-based social networks (LBSNs) …
places to mobile users, is an important task in location-based social networks (LBSNs) …
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising
R Rosales, H Cheng, E Manavoglu - … on Web search and data mining, 2012 - dl.acm.org
In on-line search and display advertising, the click-trough rate (CTR) has been traditionally a
key measure of ad/campaign effectiveness. More recently, the market has gained interest in …
key measure of ad/campaign effectiveness. More recently, the market has gained interest in …
A unified point-of-interest recommendation framework in location-based social networks
Location-based social networks (LBSNs), such as Gowalla, Facebook, Foursquare,
Brightkite, and so on, have attracted millions of users to share their social friendship and …
Brightkite, and so on, have attracted millions of users to share their social friendship and …