Article

A trust-enhanced recommender system application: Moleskiing

Authors:

Paolo Avesani,

Paolo Massa,

Roberto TiellaAuthors Info & Claims

SAC '05: Proceedings of the 2005 ACM symposium on Applied computing

Pages 1589 - 1593

https://doi.org/10.1145/1066677.1067036

Published: 13 March 2005 Publication History

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Abstract

Recommender Systems (RS) suggests to users items they will like based on their past opinions. Collaborative Filtering (CF) is the most used technique to assess user similarity between users but very often the sparseness of user profiles prevents the computation. Moreover CF doesn't take into account the reliability of the other users. In this paper we present a real world application, namely moleskiing.it, in which both of these conditions are critic to deliver personalized recommendations. A blog oriented architecture collects user experiences on ski mountaineering and their opinions on other users. Exploitation of Trust Metrics allows to present only relevant and reliable information according to the user's personal point of view of other authors trustworthiness. Differently from the notion of authority, we claim that trustworthiness is a user centered notion that requires the computation of personalized metrics. We also present an open information exchange architecture that makes use of Semantic Web formats to guarantee interoperability between ski mountaineering communities.

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Cited By

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Beltzer BConchon EGiroux S(2024)New Aggregators for Global Reputation on Bi-Lattice Based Trust ModelIEEE Access10.1109/ACCESS.2024.335707912(15713-15725)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3357079
Felfernig AWundara MTran TLe VLubos SPolat-Erdeniz S(2024)Sports recommender systems: overview and research directionsJournal of Intelligent Information Systems10.1007/s10844-024-00857-w62:4(1125-1164)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s10844-024-00857-w
Lal RSharma S(2024)Recommender Process Based on Trust-Distrust Factor for Signed Social NetworksProceedings of the 12th International Conference on Soft Computing for Problem Solving10.1007/978-981-97-3292-0_15(225-235)Online publication date: 1-Jul-2024
https://doi.org/10.1007/978-981-97-3292-0_15
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Index Terms

A trust-enhanced recommender system application: Moleskiing
1. Information systems
  1. Information systems applications
2. Social and professional topics
  1. Computing / technology policy

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Information & Contributors

Information

Published In

SAC '05: Proceedings of the 2005 ACM symposium on Applied computing

March 2005

1814 pages

ISBN:1581139640

DOI:10.1145/1066677

Conference Chair:
Hisham M. Haddad
Kennesaw State University
,
Editor:
Lorie M. Liebrock
New Mexico Institute of Mining and Technology, Socorro, NM
,
Program Chairs:
Andrea Omicini
Alma Mater Studiorum, Universita di Bologna, Italy
,
Roger L. Wainwright
Univerity of Tulsa, OK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 March 2005

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SIGAPP

SAC05: The 2005 ACM Symposium on Applied Computing

March 13 - 17, 2005

New Mexico, Santa Fe

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Beltzer BConchon EGiroux S(2024)New Aggregators for Global Reputation on Bi-Lattice Based Trust ModelIEEE Access10.1109/ACCESS.2024.335707912(15713-15725)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3357079
Felfernig AWundara MTran TLe VLubos SPolat-Erdeniz S(2024)Sports recommender systems: overview and research directionsJournal of Intelligent Information Systems10.1007/s10844-024-00857-w62:4(1125-1164)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s10844-024-00857-w
Lal RSharma S(2024)Recommender Process Based on Trust-Distrust Factor for Signed Social NetworksProceedings of the 12th International Conference on Soft Computing for Problem Solving10.1007/978-981-97-3292-0_15(225-235)Online publication date: 1-Jul-2024
https://doi.org/10.1007/978-981-97-3292-0_15
Lin YJin XLiu X(2023)Gated Graph Attention Recommendation based on Long- term and Short-term Preference2023 4th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI)10.1109/ICCBD-AI62252.2023.00074(401-405)Online publication date: 15-Dec-2023
https://doi.org/10.1109/ICCBD-AI62252.2023.00074
Berkani LBoudjenah N(2023)S-SNHF: sentiment based social neural hybrid filteringInternational Journal of General Systems10.1080/03081079.2023.220024852:3(297-325)Online publication date: 24-Apr-2023
https://doi.org/10.1080/03081079.2023.2200248
Kumari KMrunalini M. (2022)A Framework for Analysis of Incompleteness and Security Challenges in IoT Big DataInternational Journal of Information Security and Privacy10.4018/IJISP.30830516:2(1-13)Online publication date: 2-Sep-2022
https://dl.acm.org/doi/10.4018/IJISP.308305
Tiwari ASingh RTripathi AGupta SUpadhyay USingh V(2022)Hybrid Lawyer Recommendation System Based on AGE-MOEA2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)10.1109/ICDCECE53908.2022.9792700(1-6)Online publication date: 23-Apr-2022
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Han LChen LShi X(2022)Recommendation Model Based on Probabilistic Matrix Factorization, Integrating User Trust Relationship, Interest Mining, and Item CorrelationIEEE Access10.1109/ACCESS.2022.323035110(132315-132331)Online publication date: 2022
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Li ZXiaoBo C(2022)Recommendation algorithm of influence and trust relationshipMultimedia Tools and Applications10.1007/s11042-022-12231-581:11(15635-15652)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11042-022-12231-5
Pires FMoreira ALeitao P(2022)Trust Model for Digital Twin Based Recommendation SystemService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future10.1007/978-3-030-99108-1_11(145-159)Online publication date: 3-Jun-2022
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