enter search term and/or author name
Beyond Relevance: Explicitly Promoting Novelty and Diversity in Tag Recommendation
Fabiano M. Belém, Carolina S. Batista, Rodrygo L. T. Santos, Jussara M. Almeida, Marcos A. Gonçalves
Article No.: 26
The design and evaluation of tag recommendation methods has historically focused on maximizing the relevance of the suggested tags for a given object, such as a movie or a song. However, relevance by itself may not be enough to guarantee...
Parameterized Decay Model for Information Retrieval
Jiaul H. Paik
Article No.: 27
This article proposes a term weighting scheme for measuring query-document similarity that attempts to explicitly model the dependency between separate occurrences of a term in a document. The assumption is that, if a term appears once in a...
Heterogeneous face recognition, also known as cross-modality face recognition or intermodality face recognition, refers to matching two face images from alternative image modalities. Since face images from different image modalities of the same...
Generating Incremental Length Summary Based on Hierarchical Topic Coverage Maximization
Jintao Ye, Zhao Yan Ming, Tat Seng Chua
Article No.: 29
Document summarization is playing an important role in coping with information overload on the Web. Many summarization models have been proposed recently, but few try to adjust the summary length and sentence order according to application...
Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks
Dingqi Yang, Daqing Zhang, Bingqing Qu
Article No.: 30
Culture has been recognized as a driving impetus for human development. It co-evolves with both human belief and behavior. When studying culture, Cultural Mapping is a crucial tool to visualize different aspects of culture (e.g., religions...
Location Prediction: A Temporal-Spatial Bayesian Model
Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng
Article No.: 31
In social networks, predicting a user’s location mainly depends on those of his/her friends, where the key lies in how to select his/her most influential friends. In this article, we analyze the theoretically maximal accuracy of location...
Video Face Editing Using Temporal-Spatial-Smooth Warping
Xiaoyan Li, Tongliang Liu, Jiankang Deng, Dacheng Tao
Article No.: 32
Editing faces in videos is a popular yet challenging task in computer vision and graphics that encompasses various applications, including facial attractiveness enhancement, makeup transfer, face replacement, and expression manipulation. Directly...
It is a necessary but challenging task to relieve users from the proliferative news information and allow them to quickly and comprehensively master the information of the whats and hows that are happening in the world every day. In this article,...
S-SMART: A Unified Bayesian Framework for Simultaneous Semantic Mapping, Activity Recognition, and Tracking
Michael Hardegger, Daniel Roggen, Alberto Calatroni, Gerhard Tröster
Article No.: 34
The machine recognition of user trajectories and activities is fundamental to devise context-aware applications for support and monitoring in daily life. So far, tracking and activity recognition were mostly considered as orthogonal problems,...
Incentive Mechanism Design for Crowdsourcing: An All-Pay Auction Approach
Tie Luo, Sajal K. Das, Hwee Pink Tan, Lirong Xia
Article No.: 35
Crowdsourcing can be modeled as a principal-agent problem in which the principal (crowdsourcer) desires to solicit a maximal contribution from a group of agents (participants) while agents are only motivated to act according to their own...
Section: Regular Papers
Crowd and evacuation management have been active areas of research and study in the recent past. Various developments continue to take place in the process of efficient evacuation of crowds in mass gatherings. This article is intended to provide a...
A Comprehensive Survey on Pose-Invariant Face Recognition
Changxing Ding, Dacheng Tao
Article No.: 37
The capacity to recognize faces under varied poses is a fundamental human ability that presents a unique challenge for computer vision systems. Compared to frontal face recognition, which has been intensively studied and has gradually matured in...
Section: Regular Papers
Introduction to the Special Issue on Recommender System Benchmarking
Paolo Cremonesi, Alan Said, Domonkos Tikk, Michelle X. Zhou
Article No.: 38
Collaborative filtering (CF) models offer users personalized recommendations by measuring the relevance between the active user and each individual candidate item. Following this idea, user-based collaborative filtering (UCF) usually...
The Role of Cores in Recommender Benchmarking for Social Bookmarking Systems
Stephan Doerfel, Robert Jäschke, Gerd Stumme
Article No.: 40
Social bookmarking systems have established themselves as an important part in today’s Web. In such systems, tag recommender systems support users during the posting of a resource by suggesting suitable tags. Tag recommender...
A Framework for Dataset Benchmarking and Its Application to a New Movie Rating Dataset
Simon Dooms, Alejandro Bellogín, Toon De Pessemier, Luc Martens
Article No.: 41
Rating datasets are of paramount importance in recommender systems research. They serve as input for recommendation algorithms, as simulation data, or for evaluation purposes. In the past, public accessible rating datasets were not abundantly...
A Novel Classification Framework for Evaluating Individual and Aggregate Diversity in Top-N Recommendations
Jennifer Moody, David H. Glass
Article No.: 42
The primary goal of a recommender system is to generate high quality user-centred recommendations. However, the traditional evaluation methods and metrics were developed before researchers understood all the factors that increase user...
Anytime Algorithms for Recommendation Service Providers
David Ben-Shimon, Lior Rokach, Guy Shani, Bracha Shapira
Article No.: 43
Recommender systems (RS) can now be found in many commercial Web sites, often presenting customers with a short list of additional products that they might purchase. Many commercial sites do not typically have the ability and resources to develop...