Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes

Shapira, Bracha; Shoval, Peretz; Hanani, Uri

doi:10.1016/s0167-9236(99)00034-2

Cited by 28 publications

(13 citation statements)

References 15 publications

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“…Therefore, their decisions are critical and have profound human, financial and organisational impact. With the increasing availability of electronically distributed information, managers suffer from information overload, especially an over abundance of irrelevant information (Maes, 1994;Shapira et al, 1999;Eppler & Mengis, 2004). As a result, senior executives are facing increasing complexity, diversity and uncertainty in processing information for making decisions.…”

Section: Executives" Intelligence Activitiesmentioning

confidence: 99%

Supporting decision making process with “ideal” software agents – What do business executives want?

Duan

Ong

et al. 2012

Expert Systems with Applications

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According to H. Simon"s (1977) decision making theory, intelligence is the first and most important phase in the decision making process. With the escalation of information resources available to business executives, it is becoming imperative to explore the potential and challenges of using agent-based systems to support the intelligence phase of decision-making. This research examines UK executives" perceptions of using agentbased support systems and the criteria for design and development of their "ideal" intelligent software agents.The study adopted an inductive approach using focus groups to generate a preliminary set of design criteria of "ideal" agents. It then followed a deductive approach using semi-structured interviews to validate and enhance the criteria. This qualitative research has generated unique insights into executives" perceptions of the design and use of agent-based support systems. The systemic content analysis of qualitative data led to the proposal and validation of design criteria at three levels. The findings revealed the most desirable criteria for agent based support systems from the end users" point view. The design criteria can be used not only to guide intelligent agent system design but also system evaluation.

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Section: Executives" Intelligence Activitiesmentioning

confidence: 99%

Supporting decision making process with “ideal” software agents – What do business executives want?

Duan

Ong

et al. 2012

Expert Systems with Applications

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“…(Brown and Jones, 2001;Shapira et al, 1999;Xu et al, 2011). However, as it turns out in the context of presented approach to generation of linguistic alerts even in such an oversimplified profile posses significant problems.…”

Section: Profile Of User Information Needs and Filtering Taskmentioning

confidence: 91%

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Dediź

Stanier

2016

Proceedings of the 18th International Conference on Enterprise Information Systems

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ICEIS 2016 received 257 paper submissions from 42 countries in all continents, which makes it one of the largest conferences in the World in the area of Information Systems, thus demonstrating the success and global dimension of this conference. From these, 42 papers were selected for publication and presentation at the Conference as full papers. These numbers, leading to a full-paper acceptance ratio of 16%, show the intention of preserving a high quality forum for this conference, a quality that we intend to maintain in the future, for the next editions of this conference.The high number and high quality of the received papers imposed difficult choices in the selection process. To evaluate each submission, a double blind paper review was performed by the Program Committee, whose members are highly qualified researchers in ICEIS topic areas.All presented papers will be available at the SCITEPRESS Digital Library and will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Index) and Scopus.Additionally, a short list of presented papers will be selected to be expanded into a forthcoming book of ICEIS 2016 Selected Papers to be published by Springer in the LNBIP Series.The technical program of the conference included a panel and 4 invited talks delivered by internationally distinguished speakers, namely: Claudia Loebbecke (University of Cologne, Germany), Sergio Gusmeroli (TXT e-solutions SPA, Italy), Wil Van Der Aalst (Technische Universiteit Eindhoven, Netherlands) and Jan Vom Brocke (University of Liechtenstein, Liechtenstein). Their participation positively contributes to reinforce the overall quality of the Conference and to provide a deeper understanding of the fields addressed by the conference.Moreover, ICEIS 2016 had a Doctoral Consortium on Enterprise Information Systems and 1 tutorial. We are thankful to the Conference Co-chairs (Olivier Camp and José Cordeiro) and Program Co-chairs (Slimane Hammoudi, Leszek Maciaszek and Michele M. Missikoff) for their dedication and hard work in organizing these events.We sincerely thank all the authors for their submissions and participation in ICEIS 2016. Furthermore, we would like to thank all the members of the program committee and reviewers, who helped us with their expertise, dedication and time. We would also like to thank the invited speakers for their excellent contribution in sharing their knowledge and vision and the workshop/special session chairs whose collaboration with ICEIS 2015 was much appreciated. Finally, we gratefully acknowledge the professional support of the ICEIS 2016 team for all organizational processes. XIIIWe hope that all colleagues find this a fruitful and inspiring conference. We hope to contribute to the development of the Enterprise Information Systems community and look forward to having additional research results presented at the next edition of ICEIS, details of which are available at http://www.iceis.org. Slimane Hammoudi University of Cologne, GermanyAbstract:...

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“…In an earlier studies, Shapira, Hanani, Raveh, and Shoval (1997a) and Shapira, Shoval, and Hanani (1999), developed a prototype system for filtering e-mail messages (which was also used for the experiments described in this article). The system implements and combines content-based and social rule-based filtering.…”

Section: The Prototype Filtering System and Filtering Rulesmentioning

confidence: 99%

“…Only parameters with frequencies above a certain threshold were considered as representative of a stereotype. The rationale for this is that members of stereotype need to be homogeneous on the various social parameters (see Shapira et al, 1997aShapira et al, , 1999, for a detailed description and examples on how to define stereotypic sociological parameters). Table 4 presents the sociologic parameters and their values for each stereotype.…”

Section: Assignment Of Users To Stereotypesmentioning

confidence: 99%

Stereotype‐based versus personal‐based filtering rules in information filtering systems

Kuflik

Shapira

Shoval

2003

J. Am. Soc. Inf. Sci.

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Rule-based information filtering systems maintain user profiles where the profile consists of a set of filtering rules expressing the user's information filtering policy. Filtering rules may refer to various attributes of the data items subject to the filtering process. In personal rulebased filtering systems, each user has his/her own personal filtering rules. In stereotype rule-based filtering systems, a user is assigned to a group of similar users (his/her stereotype) from which he/she inherits the stereotype's filtering profile. This study compares the effectiveness of the two alternative rule-based filtering methods: stereotype-based rules versus personal rules. We conducted a comparison between filtering effectiveness when using the personal rules or when using the stereotype-based rules. Although, intuitively, personal filtering rules seem to be more effective because each user has his own tailored rules, our comparative study reveals that stereotype filtering rules yield more effective results. We believe that this is because users find it difficult to evaluate their filtering preferences accurately. The results imply that by using a stereotype it is possible not only to overcome the problem of user effort required to generate a manual rule-based profile, but at the same time even provide a better initial user profile.

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Experimentation with an information filtering system that combines cognitive and sociological filtering integrated with user stereotypes

Cited by 28 publications

References 15 publications

Supporting decision making process with “ideal” software agents – What do business executives want?

Supporting decision making process with “ideal” software agents – What do business executives want?

An Evaluation of the Challenges of Multilingualism in Data Warehouse Development

Stereotype‐based versus personal‐based filtering rules in information filtering systems

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