Abstract: In many applications, large volumes of time-sensitive textual information require triag... more Abstract: In many applications, large volumes of time-sensitive textual information require triage: rapid, approximate prioritization for subsequent action. In this paper, we explore the use of prospective indications of the importance of a time-sensitive document, for the purpose of producing better document filtering or ranking. By prospective, we mean importance that could be assessed by actions that occur in the future. For example, a news story may be assessed (retrospectively) as being important, based on events that occurred after the story appeared, such as a stock-price plummeting or the issuance of many follow-up stories. If a system could anticipate (prospectively) such occurrences, it could provide a timely indication of importance. Clearly, perfect prescience is impossible. However, sometimes there is sufficient correlation between the content of an information item and the events that occur subsequently. We describe a process for creating and evaluating approximate inf...
How are business schools thinking about developing leaders for the emerging digital economy? To a... more How are business schools thinking about developing leaders for the emerging digital economy? To answer this question, we interviewed 45 business school deans about whether knowledge about IT in business should be a part of core MBA education, and if so, how this knowledge should be delivered. A majority of deans recognize the importance of IT in business and the need for its presence in a forward looking core business curriculum that is training managers for an increasingly global and information rich future. There are three themes around which such a presence is described by them: understanding how the transformative and wealth generating potential of IT changes business and society, understanding how to make successful IT investment decisions, and facilitating innovation and creativity in the use of increasingly available data for decision making. However, a significant fraction of these deans struggle with the delivery of IT content in their core curriculum, and there is a clear ...
Prediction in financial domains is notoriously difficult for a number of reasons. First, theories... more Prediction in financial domains is notoriously difficult for a number of reasons. First, theories tend to be weak or non-existent, which makes problem formulation open ended by forcing us to consider a large number of independent variables and thereby increasing the dimensionality of the search space. Second, the weak relationships among variables tend to be nonlinear, and may hold only in limited areas of the search space. Third, in financial practice, where analysts conduct extensive manual analysis of historically well performing indicators, a key is to find the hidden interactions among variables that perform well in combination. Unfortunately, these are exactly the patterns that the greedy search biases incorporated by many standard rule learning algorithms will miss. In this paper, we describe and evaluate several variations of a new genetic learning algorithm (GLOWER) on a variety of data sets. The design of GLOWER has been motivated by financial prediction problems, but inco...
Maximizing business value of investments in hardware, software and telecommunications technologie... more Maximizing business value of investments in hardware, software and telecommunications technologies that occur in the trading and treasury operations of an international bank requires senior management to evaluate the extent to which the technology infrastructure enables the bank to perform a number of key functions. These include: formulating effective trading strategies, pricing financial instruments accurately and rapidly, being able to respond to changing market conditions, processing transactions cost-effectively, resolving inquiries quickly, and moving to support emerging corporate treasury products. After a decade of rapid growth in investment levels, senior managers now emphasize refining, rationalizing and integrating trading and treasury technology architectures to support improved global financial risk management, better capitalutilization, and higher transaction volumes. This chapter examines how senior managers canaccomplish these goals by re-engineering pre-trade, trade...
In information facilities such as libraries, finding documents that are relevant to a user query ... more In information facilities such as libraries, finding documents that are relevant to a user query is difficult because of the indeterminism involved in the process by which documents are indexed, and the latitude users have in choosing terms to express a query on a particular topic. Reference librarians play an important support role in coping with this indeterminism, focusing user queries through an interactive dialog. Based on thirty detailed observations of user/librarian interactions obtained through a field experiment, we have developed a computational model designed to simulate the reference librarian. The consultation includes two phases. The first is handle search, where the user's rough problem statement and a user stereotyping imposed by the librarian are med in determining the appropriate tools (handles). The second phase is document search, involving the search for documents within a chosen handle. We are collaborating with the university library for putting our model...
S search is the mechanism whereby advertisers pay a fee to Internet search engines to be displaye... more S search is the mechanism whereby advertisers pay a fee to Internet search engines to be displayed alongside organic (nonsponsored) web search results. Based on prior literature, we draw an analogy between these markets and financial markets. We use the analogy as well as the key differences to present a theoretical framework consisting of a set of research questions about the pricing of keywords and design choices available to firms in sponsored search markets. These questions define an agenda for future research in sponsored search markets. They also have practical implications for advertisers and online marketplaces such as search engines and social media sites that support advertising.
Page 1. On the Equivalence of Constraint Satisfaction Problems Francesca Rossi 1 Charles Petrie M... more Page 1. On the Equivalence of Constraint Satisfaction Problems Francesca Rossi 1 Charles Petrie MCC 3500 W. Balcones Cntr. Dr. Austin, Texas 78759 rossi, petrie@mcc.com Vasant Dhar 2 Dept. of Information Systems New York University ...
This article presents a knowledge-based approach to the design of document-based retrieval system... more This article presents a knowledge-based approach to the design of document-based retrieval systems. We conducted two empirical studies investigating the users' behavior using an online catalog. The studies revealed a range of knowledge elements which are necessary for performing a successful search. We proposed a semantic network based representation to capture these knowledge elements. The findings we derived from our empirical studies were used to construct a knowledge-based retrieval system. We performed a laboratory experiment to evaluate the search performance of our system. The experiment showed that our system out-performed a conventional retrieval system in recall and user satisfaction. The implications of our study to the design of document-based retrieval systems are also discussed in this article.
... the ability of firms to analyze these data, and their capability to respond creatively to sig... more ... the ability of firms to analyze these data, and their capability to respond creatively to signals from markets ... Information Systems Research 18(2), pp ... However, our framework suggests that this functionality will be integrated into a platform of some sort (perhaps an operating system ...
Abstract: In many applications, large volumes of time-sensitive textual information require triag... more Abstract: In many applications, large volumes of time-sensitive textual information require triage: rapid, approximate prioritization for subsequent action. In this paper, we explore the use of prospective indications of the importance of a time-sensitive document, for the purpose of producing better document filtering or ranking. By prospective, we mean importance that could be assessed by actions that occur in the future. For example, a news story may be assessed (retrospectively) as being important, based on events that occurred after the story appeared, such as a stock-price plummeting or the issuance of many follow-up stories. If a system could anticipate (prospectively) such occurrences, it could provide a timely indication of importance. Clearly, perfect prescience is impossible. However, sometimes there is sufficient correlation between the content of an information item and the events that occur subsequently. We describe a process for creating and evaluating approximate inf...
How are business schools thinking about developing leaders for the emerging digital economy? To a... more How are business schools thinking about developing leaders for the emerging digital economy? To answer this question, we interviewed 45 business school deans about whether knowledge about IT in business should be a part of core MBA education, and if so, how this knowledge should be delivered. A majority of deans recognize the importance of IT in business and the need for its presence in a forward looking core business curriculum that is training managers for an increasingly global and information rich future. There are three themes around which such a presence is described by them: understanding how the transformative and wealth generating potential of IT changes business and society, understanding how to make successful IT investment decisions, and facilitating innovation and creativity in the use of increasingly available data for decision making. However, a significant fraction of these deans struggle with the delivery of IT content in their core curriculum, and there is a clear ...
Prediction in financial domains is notoriously difficult for a number of reasons. First, theories... more Prediction in financial domains is notoriously difficult for a number of reasons. First, theories tend to be weak or non-existent, which makes problem formulation open ended by forcing us to consider a large number of independent variables and thereby increasing the dimensionality of the search space. Second, the weak relationships among variables tend to be nonlinear, and may hold only in limited areas of the search space. Third, in financial practice, where analysts conduct extensive manual analysis of historically well performing indicators, a key is to find the hidden interactions among variables that perform well in combination. Unfortunately, these are exactly the patterns that the greedy search biases incorporated by many standard rule learning algorithms will miss. In this paper, we describe and evaluate several variations of a new genetic learning algorithm (GLOWER) on a variety of data sets. The design of GLOWER has been motivated by financial prediction problems, but inco...
Maximizing business value of investments in hardware, software and telecommunications technologie... more Maximizing business value of investments in hardware, software and telecommunications technologies that occur in the trading and treasury operations of an international bank requires senior management to evaluate the extent to which the technology infrastructure enables the bank to perform a number of key functions. These include: formulating effective trading strategies, pricing financial instruments accurately and rapidly, being able to respond to changing market conditions, processing transactions cost-effectively, resolving inquiries quickly, and moving to support emerging corporate treasury products. After a decade of rapid growth in investment levels, senior managers now emphasize refining, rationalizing and integrating trading and treasury technology architectures to support improved global financial risk management, better capitalutilization, and higher transaction volumes. This chapter examines how senior managers canaccomplish these goals by re-engineering pre-trade, trade...
In information facilities such as libraries, finding documents that are relevant to a user query ... more In information facilities such as libraries, finding documents that are relevant to a user query is difficult because of the indeterminism involved in the process by which documents are indexed, and the latitude users have in choosing terms to express a query on a particular topic. Reference librarians play an important support role in coping with this indeterminism, focusing user queries through an interactive dialog. Based on thirty detailed observations of user/librarian interactions obtained through a field experiment, we have developed a computational model designed to simulate the reference librarian. The consultation includes two phases. The first is handle search, where the user's rough problem statement and a user stereotyping imposed by the librarian are med in determining the appropriate tools (handles). The second phase is document search, involving the search for documents within a chosen handle. We are collaborating with the university library for putting our model...
S search is the mechanism whereby advertisers pay a fee to Internet search engines to be displaye... more S search is the mechanism whereby advertisers pay a fee to Internet search engines to be displayed alongside organic (nonsponsored) web search results. Based on prior literature, we draw an analogy between these markets and financial markets. We use the analogy as well as the key differences to present a theoretical framework consisting of a set of research questions about the pricing of keywords and design choices available to firms in sponsored search markets. These questions define an agenda for future research in sponsored search markets. They also have practical implications for advertisers and online marketplaces such as search engines and social media sites that support advertising.
Page 1. On the Equivalence of Constraint Satisfaction Problems Francesca Rossi 1 Charles Petrie M... more Page 1. On the Equivalence of Constraint Satisfaction Problems Francesca Rossi 1 Charles Petrie MCC 3500 W. Balcones Cntr. Dr. Austin, Texas 78759 rossi, petrie@mcc.com Vasant Dhar 2 Dept. of Information Systems New York University ...
This article presents a knowledge-based approach to the design of document-based retrieval system... more This article presents a knowledge-based approach to the design of document-based retrieval systems. We conducted two empirical studies investigating the users' behavior using an online catalog. The studies revealed a range of knowledge elements which are necessary for performing a successful search. We proposed a semantic network based representation to capture these knowledge elements. The findings we derived from our empirical studies were used to construct a knowledge-based retrieval system. We performed a laboratory experiment to evaluate the search performance of our system. The experiment showed that our system out-performed a conventional retrieval system in recall and user satisfaction. The implications of our study to the design of document-based retrieval systems are also discussed in this article.
... the ability of firms to analyze these data, and their capability to respond creatively to sig... more ... the ability of firms to analyze these data, and their capability to respond creatively to signals from markets ... Information Systems Research 18(2), pp ... However, our framework suggests that this functionality will be integrated into a platform of some sort (perhaps an operating system ...
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