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ACM Transactions on Intelligent Systems and Technology (TIST), Volume 7 Issue 1, October 2015

Learning to Rank from Noisy Data
Wenkui Ding, Xiubo Geng, Xu-Dong Zhang
Article No.: 1
DOI: 10.1145/2576230

Learning to rank, which learns the ranking function from training data, has become an emerging research area in information retrieval and machine learning. Most existing work on learning to rank assumes that the training data is clean, which is...

Local Structure-Based Sparse Representation for Face Recognition
Fan Liu, Jinhui Tang, Yan Song, Liyan Zhang, Zhenmin Tang
Article No.: 2
DOI: 10.1145/2733383

This article presents a simple yet effective face recognition method, called local structure-based sparse representation classification (LS_SRC). Motivated by the “divide-and-conquer” strategy, we first divide the face into local...

On Optimizing Airline Ticket Purchase Timing
William Groves, Maria Gini
Article No.: 3
DOI: 10.1145/2733384

Proper timing of the purchase of airline tickets is difficult even when historical ticket prices and some domain knowledge are available. To address this problem, we introduce an algorithm that optimizes purchase timing on behalf of customers and...

Nonnegative Multiresolution Representation-Based Texture Image Classification
Yongsheng Dong, Dacheng Tao, Xuelong Li
Article No.: 4
DOI: 10.1145/2738050

Effective representation of image texture is important for an image-classification task. Statistical modelling in wavelet domains has been widely used to image texture representation. However, due to the intraclass complexity and interclass...

Multi-Keyword Multi-Click Advertisement Option Contracts for Sponsored Search
Bowei Chen, Jun Wang, Ingemar J. Cox, Mohan S. Kankanhalli
Article No.: 5
DOI: 10.1145/2743027

In sponsored search, advertisement (abbreviated ad) slots are usually sold by a search engine to an advertiser through an auction mechanism in which advertisers bid on keywords. In theory, auction mechanisms have many desirable economic...

Analysis of the Impact of a Tag Recommendation System in a Real-World Folksonomy
Frederic Font, Joan Serrà, Xavier Serra
Article No.: 6
DOI: 10.1145/2743026

Collaborative tagging systems have emerged as a successful solution for annotating contributed resources to online sharing platforms, facilitating searching, browsing, and organizing their contents. To aid users in the annotation process, several...

A Hybrid Background Subtraction Method with Background and Foreground Candidates Detection
Fan-Chieh Cheng, Bo-Hao Chen, Shih-Chia Huang
Article No.: 7
DOI: 10.1145/2746409

Background subtraction for motion detection is often used in video surveillance systems. However, difficulties in bootstrapping restrict its development. This article proposes a novel hybrid background subtraction technique to solve this problem....

On Learning Prediction Models for Tourists Paths
Cristina Ioana Muntean, Franco Maria Nardini, Fabrizio Silvestri, Ranieri Baraglia
Article No.: 8
DOI: 10.1145/2766459

In this article, we tackle the problem of predicting the “next” geographical position of a tourist, given her history (i.e., the prediction is done accordingly to the tourist’s current trail) by means of supervised learning...

Where2Stand: A Human Position Recommendation System for Souvenir Photography
Yinting Wang, Mingli Song, Dacheng Tao, Yong Rui, Jiajun Bu, Ah Chung Tsoi, Shaojie Zhuo, Ping Tan
Article No.: 9
DOI: 10.1145/2770879

People often take photographs at tourist sites and these pictures usually have two main elements: a person in the foreground and scenery in the background. This type of “souvenir photo” is one of the most common photos clicked by...

Metastrategies in Large-Scale Bargaining Settings
Daniel Hennes, Steven De Jong, Karl Tuyls, Ya’akov (Kobi) Gal
Article No.: 10
DOI: 10.1145/2774224

This article presents novel methods for representing and analyzing a special class of multiagent bargaining settings that feature multiple players, large action spaces, and a relationship among players’ goals, tasks, and resources. We show...

Spatiotemporal Sequential Influence Modeling for Location Recommendations: A Gravity-based Approach
Jia-Dong Zhang, Chi-Yin Chow
Article No.: 11
DOI: 10.1145/2786761

Recommending to users personalized locations is an important feature of Location-Based Social Networks (LBSNs), which benefits users who wish to explore new places and businesses to discover potential customers. In LBSNs, social and...

On-Device Mobile Landmark Recognition Using Binarized Descriptor with Multifeature Fusion
Tao Guan, Yuesong Wang, Liya Duan, Rongrong Ji
Article No.: 12
DOI: 10.1145/2795234

Along with the exponential growth of high-performance mobile devices, on-device Mobile Landmark Recognition (MLR) has recently attracted increasing research attention. However, the latency and accuracy of automatic recognition remain as...