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1
June 2017
ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 33, Downloads (12 Months): 33, Downloads (Overall): 33
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In this paper, we address the challenge of identifying music suitable to accompany typical daily activities. We first derive a list of common activities by analyzing social media data. Then, an automatic approach is proposed to find music for these activities. Our approach is inspired by our experimentally acquired findings ...
Keywords:
activity, relax music, workout music, music recommendation, study music
2
June 2017
ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 43, Downloads (12 Months): 43, Downloads (Overall): 43
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Today's geo-location estimation approaches are able to infer the location of a target image using its visual content alone. These approaches typically exploit visual matching techniques, applied to a large collection of background images with known geo-locations. Users who are unaware that visual analysis and retrieval approaches can compromise their ...
Keywords:
geo-location estimation, geo-privacy, usable privacy for multimedia retrieval
3
September 2016
DLRS 2016: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 12, Downloads (12 Months): 88, Downloads (Overall): 88
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Recommender systems leverage both content and user interactions to generate recommendations that fit users' preferences. The recent surge of interest in deep learning presents new opportunities for exploiting these two sources of information. To recommend items we propose to first learn a user-independent high-dimensional semantic space in which items are ...
4
September 2016
RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 21, Downloads (12 Months): 258, Downloads (Overall): 258
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The 2016 ACM Recommender Systems Challenge focused on the problem of job recommendations. Given a large dataset from XING that consisted of anonymized user profiles, job postings, and interactions between them, the participating teams had to predict postings that a user will interact with. The challenge ran for four months ...
Keywords:
recommender systems, XING, data mining challenge
5
September 2016
RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 19, Downloads (12 Months): 314, Downloads (Overall): 314
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A critical change has occurred in the status of context in recommender systems. In the past, context has been considered 'additional evidence'. This past picture is at odds with many present application domains, where user and item information is scarce. Such domains face continuous cold start conditions and must exploit ...
Keywords:
context, position paper, recommender systems
6
Tamas Motajcsek,
Jean-Yves Le Moine,
Martha Larson,
Daniel Kohlsdorf,
Andreas Lommatzsch,
Domonkos Tikk,
Omar Alonso,
Paolo Cremonesi,
Andrew Demetriou,
Kristaps Dobrajs,
Franca Garzotto,
Ayşe Göker,
Frank Hopfgartner,
Davide Malagoli,
Thuy Ngoc Nguyen,
Jasminko Novak,
Francesco Ricci,
Mario Scriminaci,
Marko Tkalcic,
Anna Zacchi
September 2016
RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 17, Downloads (12 Months): 410, Downloads (Overall): 410
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In this position paper, we take the experimental approach of putting algorithms aside, and reflect on what recommenders would be for people if they were not tied to technology. By looking at some of the shortcomings that current recommenders have fallen into and discussing their limitations from a human point ...
Keywords:
personalization, recommendation engine, machine learning
7
September 2016
RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 30, Downloads (12 Months): 414, Downloads (Overall): 414
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Pairwise learning-to-rank algorithms have been shown to allow recommender systems to leverage unary user feedback. We propose Multi-feedback Bayesian Personalized Ranking (MF-BPR), a pairwise method that exploits different types of feedback with an extended sampling method. The feedback types are drawn from different "channels", in which users interact with items ...
Keywords:
Bayesian personalized ranking, collaborative filtering, multiple feedback channels
8
August 2016
ACM Computing Surveys (CSUR): Volume 49 Issue 2, November 2016
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 24, Downloads (12 Months): 389, Downloads (Overall): 389
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Today's multimedia search engines are expected to respond to queries reflecting a wide variety of information needs from users with different goals. The topical dimension (“what” the user is searching for) of these information needs is well studied; however, the intent dimension (“why” the user is searching) has received relatively ...
Keywords:
multimedia search, retrieval algorithms, User intent, multimedia indexing, multimedia information retrieval
9
July 2016
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Crowd in Intelligent Systems, Research Note/Short Paper and Regular Papers: Volume 7 Issue 4, July 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4, Downloads (12 Months): 71, Downloads (Overall): 71
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10
May 2016
MMSys '16: Proceedings of the 7th International Conference on Multimedia Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4, Downloads (12 Months): 100, Downloads (Overall): 134
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In this paper, we present the dataset Right Inflight developed to support the exploration of the match between video content and the situation in which that content is watched. Specifically, we look at videos that are suitable to be watched on an airplane, where the main assumption is that that ...
Keywords:
multimedia, context, data set, intent
11
January 2016
ACM SIGIR Forum: Volume 49 Issue 2, December 2015
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 9, Downloads (12 Months): 60, Downloads (Overall): 94
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The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and optimize news recommender algorithms. The goal is to create an algorithm that is able to generate news items that users would click, respecting a strict time constraint. The lab challenges participants to compete in either a ...
12
October 2015
CrowdMM '15: Proceedings of the Fourth International Workshop on Crowdsourcing for Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2, Downloads (12 Months): 36, Downloads (Overall): 91
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This paper introduces a novel perspective on the gamification of crowdsourcing tasks by conceptualizing it as the introduction of hedonic quality into the solution of utilitarian tasks and into the design of corresponding systems. We demonstrate how such a conceptualization can enable crowdsourcing applications to involve new kinds of crowds ...
Keywords:
crowdsourcing, mobile application development, hedonic quality, GWAPs, motivation, user study
13
October 2015
MM '15: Proceedings of the 23rd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 3, Downloads (12 Months): 84, Downloads (Overall): 298
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We present Evento 360 (URL: http://evento360.info), an online interactive social event browser, which allows the user to explore events detected within a web-scale multimedia corpus. The system addresses five key aspects of social multimedia event detection and summarization: multimodality, scale, diversity of representations, noise of multimedia items, and missing metadata. ...
Keywords:
event summarization, topic models, social event detection
14
October 2015
MM '15: Proceedings of the 23rd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2, Downloads (12 Months): 17, Downloads (Overall): 61
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The Workshop on Speech, Language and Audio in Multimedia (SLAM) positions itself at at the crossroad of multiple scientific fields (music and audio processing, speech processing, natural language processing and multimedia) to discuss and stimulate research results, projects, datasets and benchmarks initiatives where audio, speech and language are applied to ...
Keywords:
multimedia, speech, audio, language
15
September 2015
RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5, Downloads (12 Months): 66, Downloads (Overall): 187
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CrowdRec 2015 provides the recommender system community with a forum at which to discuss crowdsourcing and human computation. Systems that explicitly collect information from human annotators to improve recommendations are becoming more widespread. At this year's workshop, we highlight incentivization and the issue of avoiding bias. We take a special ...
Keywords:
human intelligence, crowdsourcing, recommender systems, human computation
16
September 2015
CLEF'15: Proceedings of the 6th International Conference on Experimental IR Meets Multilinguality, Multimodality, and Interaction - Volume 9283
Publisher: Springer-Verlag New York, Inc.
Providing high-quality news recommendations is a challenging task because the set of potentially relevant news items changes continuously, the relevance of news highly depends on the context, and there are tight time constraints for computing recommendations. The CLEF NewsREEL challenge is a campaign-style evaluation lab allowing participants to evaluate and ...
Keywords:
News, Evaluation, Stream-based recommender, Living lab, Recommender systems
17
November 2014
CrowdMM '14: Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 3, Downloads (12 Months): 21, Downloads (Overall): 90
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A timed tag is a tag that a user has assigned to a specific time point in a video. Although timed tags are supported by an increasing number of social video platforms on the Internet, multimedia research remains focused on conventional tags, here called "timeless tags", which users assign to ...
Keywords:
crowdsourcing, social video, data set, timed tags
18
November 2014
CrowdMM '14: Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 15, Downloads (12 Months): 33, Downloads (Overall): 106
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Validating user tags helps to refine them, making them more useful for finding images. In the case of interpretation-sensitive tags, however, automatic (i.e., pixel-based) approaches cannot be expected to deliver optimal results. Instead, human input is the key. This paper studies how crowdsourcing-based approaches to image tag validation can achieve ...
Keywords:
experimentation, human factors, algorithms
19
November 2014
CrowdMM '14: Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 1, Downloads (12 Months): 19, Downloads (Overall): 92
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Research on mid-level image representations has conventionally concentrated relatively obvious attributes and overlooked non-obvious attributes, i.e., characteristics that are not readily observable when images are viewed independently of their context or function. Non-obvious attributes are not necessarily easily nameable, but nonetheless they play a systematic role in people's interpretation of ...
Keywords:
content-based image indexing, crowdsourcing, human image understanding, triadic elicitation, social images
20
November 2014
CrowdMM '14: Proceedings of the 2014 International ACM Workshop on Crowdsourcing for Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1, Downloads (12 Months): 19, Downloads (Overall): 99
Full text available:
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We present a crowdsourcing approach to tackle the challenge of collecting hard-to-find data. Our immediate need for the data arises because we are studying edited images in context online, and the way that this use impacts users' perceptions. Study of this topic cannot advance without a large, diverse data set ...
Keywords:
test design, data set, human perception, edited images
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