1987
DOI: 10.1145/22899.22903
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Intelligent information-sharing systems

Abstract: Management in the 1990s is an industry and governmental agency supported research program. Its aim is to develop a better understanding of the managerial issues of the 1990s and how to deal most effectively with them, particularly as these issues revolve around anticipated advances in Information Technology.Assisting the work of the Sloan School scholars with financial support and as working partners in research are: Much recent work on the Information Lens system has been done by Kum-Yew Lai, Ramana Rao, and … Show more

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Cited by 477 publications
(158 citation statements)
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References 21 publications
(8 reference statements)
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“…Our strategy to solve the PCSP is explained using an exemplar user profile (in Table 3) and dataset (in Table 4). 2 acquisition, crude, nat-gas t 10 bop, cpi, gnp, jobs t 3 acquisition, gold, lead, silver, zinc t 11 jobs, trade t 4 gas t 12 gnp, jobs t 5 CPI, crude, fuel, gas, nat-gas t 13 acquisition t 6 fuel, gas t 14 fuel, gas t 7 crude, gas t 15 jobs, trade t 8 GNP, income, ipi, retail, trade…”
Section: Solving the Constraint Satisfaction Problem For Information mentioning
confidence: 99%
See 1 more Smart Citation
“…Our strategy to solve the PCSP is explained using an exemplar user profile (in Table 3) and dataset (in Table 4). 2 acquisition, crude, nat-gas t 10 bop, cpi, gnp, jobs t 3 acquisition, gold, lead, silver, zinc t 11 jobs, trade t 4 gas t 12 gnp, jobs t 5 CPI, crude, fuel, gas, nat-gas t 13 acquisition t 6 fuel, gas t 14 fuel, gas t 7 crude, gas t 15 jobs, trade t 8 GNP, income, ipi, retail, trade…”
Section: Solving the Constraint Satisfaction Problem For Information mentioning
confidence: 99%
“…From an AI perspective, a variety of techniques have been employed for pursuing IP. Foltz used latent semantic indexing (LSI) to perform information personalization [4]; Mooney and Roy developed a book recommending system based on a Bayesian text classifier [5]; Malone et al built a rule-based system to filter e-mail messages [6]; Jennings and Higuchi helped users get better access to news service using neural-networks [7]; Desjardins and Godin use genetic algorithms for personalization [8]. However, pursuing IP as a constraint satisfaction problem is a novel approach.…”
Section: Introductionmentioning
confidence: 99%
“…The most common application of interface agents is integration with existing systems. A range of agent-enabled applications exists, including email (Malone et al, 1987), graphic editors (Lieberman, 1998), design environments (Fischer, McCall & Mørch, 1989), spreadsheets (Krogsaeter, To achieve a synergistic effect with agents in learning environments they must make their presence known at the right time. If they fail to do so, they may be ignored or perceived as disturbing ongoing activities.…”
Section: Pedagogical Interface Agentsmentioning
confidence: 99%
“…Cognitive filtering, also called the content-based filtering, 'characterizes the contents of the message and the information needs of potential message recipients and then using these representations to intelligently match messages to receivers' [2]. Research based systems, such as SIFT [3], and the commercial systems (e.g., DansGuardian, iProtectYou, Parental Filter, Symatec Web Security, and We-Blocker) usually use URL or keywords to characterize content, while the social filtering systems use personal organizational interrelationships of individuals in a community.…”
Section: Literature Reviewmentioning
confidence: 99%