Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yoke Yie Chen"'
Autor:
Yoke Yie Chen, Zhenxin Qin
Publikováno v:
Proceedings of the Americas Conference on Information Systems (AMCIS); 2023, p1-10, 10p
Integrating selection-based aspect sentiment and preference knowledge for social recommender systems
Publikováno v:
Online Information Review. 44:399-416
Purpose Recommender system approaches such as collaborative and content-based filtering rely on user ratings and product descriptions to recommend products. More recently, recommender system research has focussed on exploiting knowledge from user-gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff9f8fa35b044e22b4ae00af17eeba55
https://doi.org/10.1108/oir-02-2017-0066
https://doi.org/10.1108/oir-02-2017-0066
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Case-Based Reasoning Research and Development ISBN: 9783319245850
ICCBR
instname
Case-Based Reasoning Research and Development ISBN: 9783319245850
ICCBR
In this paper, we extend our previous work on social recommender systems to harness knowledge from product reviews. By mining product reviews, we can exploit sentiment-rich content to ascertain user opinion expressed over product aspects. Aspect awar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60a427065b6042b7a65232dc698c01f9
http://hdl.handle.net/10261/130426
http://hdl.handle.net/10261/130426
Publikováno v:
2014 International Conference on Computer and Information Sciences (ICCOINS).
This paper describes first results of ongoing research effort to investigate communication pattern within a procurement process in an organization. Previous studies have shown that the main reasons of long ordering cycle are it takes too long to deal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90530d3dee95de8edf254f1c7e68ffe7
https://doi.org/10.1109/iccoins.2014.6868843
https://doi.org/10.1109/iccoins.2014.6868843
Publikováno v:
Journal of Computers. 9
Hoaxes are non-malicious viruses. They live on deceiving human’s perception by conveying false claims as truth. Throughout history, hoaxes have actually able to influence a lot of people to the extent of tarnishing the victim’s image and credibil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f66314a39efb92cdc60019abf95dbebd
https://doi.org/10.4304/jcp.9.2.441-446
https://doi.org/10.4304/jcp.9.2.441-446
Malaysians suffer from both communicable and non-communicable diseases. Tuberculosis (communicable disease) is common in rural places and dengue (non-communicable disease) is a popular vector-borne disease in Malaysia. Health centres record informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5dc67cfa5402e0ac77f750eed28d268
https://doi.org/10.4018/978-1-4666-4623-0.ch013
https://doi.org/10.4018/978-1-4666-4623-0.ch013
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783642398285
Safe production is one of the most important issues in oil and gas plants. Oil and gas companies lose enormous amounts of money and trust once they experience accidents such as explosions and oil spills. They have to make clear production rate limits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61ab56023c8fa99d1b4e84f0ff26d2d4
https://doi.org/10.1007/978-3-642-39829-2_8
https://doi.org/10.1007/978-3-642-39829-2_8
Publikováno v:
Digital.CSIC: Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
Research and Development in Intelligent Systems XXXI ISBN: 9783319120683
SGAI Conf.
Digital.CSIC. Repositorio Institucional del CSIC
instname
Consejo Superior de Investigaciones Científicas (CSIC)
Research and Development in Intelligent Systems XXXI ISBN: 9783319120683
SGAI Conf.
Digital.CSIC. Repositorio Institucional del CSIC
instname
Capturing users’ preference that change over time is a great challenge in recommendation systems. What makes a product feature interesting now may become the accepted standard in the future. Social recommender systems that harness knowledge from us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2ea3d094f229355635574fbf415cfbd
http://hdl.handle.net/10261/248820
http://hdl.handle.net/10261/248820
Publikováno v:
Case-Based Reasoning Research and Development ISBN: 9783319112084
ICCBR
ICCBR
Social recommender systems harness knowledge from social experiences, expertise and interactions. In this paper we focus on two such knowledge sources: sentiment-rich user generated reviews; and preferences from purchase summary statistics. We formal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::003ec6a047c46cf6bb6262e3046d8e53
https://doi.org/10.1007/978-3-319-11209-1_7
https://doi.org/10.1007/978-3-319-11209-1_7
Publikováno v:
2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI).
In oil and gas exploration, seismic images are processed to identify the existence of potential reservoir by classifying the seismic image into different sections. These sections, also known as objects, are made up of different patterns portraying th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b6ac2b7bd9af139ee8f76be1dae9068
https://doi.org/10.1109/cinti.2013.6705229
https://doi.org/10.1109/cinti.2013.6705229