Successful field tests were conducted on two new Information Aggregation Mechanisms (IAMs). The mechanisms collected information held as intuitions about opening weekend box office revenues for movies in Australia. Participants were film school students. One mechanism is similar to parimutuel betting that produces a probability distribution over box office amounts. Except for “art house films”, the predicted distribution is indistinguishable from the actual revenues. The second mechanism is based on guesses of the guesses of others and applied when incentives for accuracy could not be used. It tested well against data and contains information not encompassed by the first mechanism
In this paper, we attempt to evaluate whether a film's commercial performance can be forecast. The s...
Audiences discover what movies they like and spread the word. Information feedback produces Bose-Ein...
The film industry is a significant player in the global economy. It calls for significant up-front i...
Successful field tests were conducted on two new Information Aggregation Mechanisms (IAMs). The mech...
Overall, Box office Prophecy is very successful. The data show that amazingly accurate predictions c...
Field tests were conducted on two newinformation aggregationmechanism designs. The mechanisms were ...
This study investigates and compares predictions of opening weekend box office revenue from an onlin...
Field tests of a new Information Aggregation Mechanism (IAM) developed via laboratory experimental m...
Purpose: Data analytics techniques can help to predict movie success, as measured by box office sale...
Recent empirical literature has identified the importance ofinformation transmission in creating box...
In this paper, I attempted to determine the relationship between a movie’s box office success and th...
We compare the forecasts of nineteen movie box office results from real money (Iowa Electronic Marke...
To predict the movie weekly box-office revenues, this paper proposes a new prediction model based on...
The research reported here is focused on the design of new information aggregation mechanisms. These...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
In this paper, we attempt to evaluate whether a film's commercial performance can be forecast. The s...
Audiences discover what movies they like and spread the word. Information feedback produces Bose-Ein...
The film industry is a significant player in the global economy. It calls for significant up-front i...
Successful field tests were conducted on two new Information Aggregation Mechanisms (IAMs). The mech...
Overall, Box office Prophecy is very successful. The data show that amazingly accurate predictions c...
Field tests were conducted on two newinformation aggregationmechanism designs. The mechanisms were ...
This study investigates and compares predictions of opening weekend box office revenue from an onlin...
Field tests of a new Information Aggregation Mechanism (IAM) developed via laboratory experimental m...
Purpose: Data analytics techniques can help to predict movie success, as measured by box office sale...
Recent empirical literature has identified the importance ofinformation transmission in creating box...
In this paper, I attempted to determine the relationship between a movie’s box office success and th...
We compare the forecasts of nineteen movie box office results from real money (Iowa Electronic Marke...
To predict the movie weekly box-office revenues, this paper proposes a new prediction model based on...
The research reported here is focused on the design of new information aggregation mechanisms. These...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
In this paper, we attempt to evaluate whether a film's commercial performance can be forecast. The s...
Audiences discover what movies they like and spread the word. Information feedback produces Bose-Ein...
The film industry is a significant player in the global economy. It calls for significant up-front i...