Imputed demographics is a statistical means of determining a person or user's behavior profile based on their past activities and choices.
Software patents that seem to last an indefinite period of time are just wrong and this happened through mechanisms over which I had no say.
That being said, the concept model of functionality for a home theater PC is that which is patterned after the TiVo.
Specifically the recorder will learn the user's preferences for genres, movie stars, themes, directors, producers, etc, then automatically record shows "that the user might enjoy" that approximately fit their established preferences.
Networks are always coming up with new shows. New networks appear that produce new shows. Old shows get cancelled so new ones should take their place in some way. Old shows get rerun in syndication that have already been watched.
The internet as an information source permits newly developed software to look up information and use it to do exactly what TiVo is charging a monthly or life time fee to do, and the new software could probably improve on what TiVo is doing? I'm not sure how this would impact these evil software patents.
I am no legal expert, but from what I gather, in America it is fine to publish writings about any stuff, so open source software has been done that leaves out just one last step has been published that does not break any commerce UCC law, but describes the missing step in detail using words in English. It would then only be a matter of "the reader" to translate those words into the missing code step to have source code that would perform the patented activity / behaviors, etc.
The near functionality of TiVo could be brought to everyone with the last step of confirming the preferences with the users or family members themselves. This is sort of being done by Netflix where they want to know which user profile is viewing the particular shows or movies. Netflix then is able to offer to show the user movies that they might enjoy based on their previous selections.
Keyword tagging of shows with meta data like genre type(s), movie star cast names, etc, could then be automatically ranked by MCEBuddy based on recorded show information. Each meta data item could have a non-zero score that increases or decreases on a per week or month or year basis. Each such cell score would constitute a histogram or behavior vector. Shows could be mapped to vectors too. A means to Euclidean vector distance matching shows with user profiles could have an adjustable matching threshold to determine if the user might potentially like a given show, however, it may just be a matter of determining if any of the meta data tags match a new show at all what the user already liked?
Instead of scheduling any particular favorite or named shows or anything, if the user's behavior or preferences were already known, then all matching shows could automatically be scheduled for the upcoming days or week, etc. This could automatically determine for the user if any recording conflicts were going to happen so that the user could get another tuner for their PVR system or network of co-operating PVR HTPCs.
In 1999 I joined a company that did statistical imputed demographics of anonymous web visitor's cookies. They would use statistical models to examine prior web page visits to impute future behaviors and so to present to them targeted advertising. If a demographic or cohort group tended to want to refinance their mortgage, then they would be presented an ad for that from a bank or mortgage company. Similarly with buying a car, stock investing, voting patterns for political parties during an election year, and the list goes on. A person's or a user's preferences can be imputed by their past behaviors so that future behaviors can be predicted or anticipated.
MCEBuddy could centrally accumulate demographic characteristics of the shows being recorded and supposedly watched so that when a new show comes on that has virtually identical characteristics could offer to automate the scheduling of the recording of the new show title or let the user decide to let MCEBuddy do this automatically without the user having to approve the new activity.
Would it not be interesting to gather information about what kind of people are watching which shows?
What if all the low intelligence people were watching certain shows, while very high intelligence people preferred other specific shows.
What if the income levels of the shows watchers were fairly specific?
All of these things would be interesting to know.
Who watches Jerry Springer shows or Maury Povich about genetic testing to determine parentage of infidelity women and men?
Is it possible to gather information about shows recorded? Yes.
Is it possible to schedule a Windows Media Center recording programmatically? Probably yes since Microsoft is able to do so after the user clicks their daily show time slot grid selections.
It is certainly possible to produce an output text file that lists the day's or week's current versus suggested new recordings. The user could then use the text file to program their recording software's immediate future shows.
It may even be possible to collect information on why a proposed show is disliked by the user so that the show's producers can be told how to improve the audience size for their show. The writing is bad or not funny or is not entertaining or is cliched too much or the jokes are old or all the jokes are inside jokes about Jewish culture or sayings or activities. The acting is bad. The key character is impossibly smart or stupid. The key actor is hooked on drugs and his work is getting worse. The lighting is too dark. All the actors are ugly. The show is fake or impossible due to issues known by the user (E.G.: the Hawaii Five-O HQ could not be in the Royal Palace).-- Whatever other issues the user could specify in text.
Gathering this information centrally and publishing it like show reviews could generate web site advertising revenue to support the MCEBuddy project. Daily, Weekly, Monthly, Yearly show viewership. Criticisms of shows. etc.
The aggregate knowledge accumulated about shows popularity and genre grouping, etc, would better determine how to characterize shows for viewer cohort groups, thereby more closely suggesting shows that the user would like.
A question just arose in my mind about the misuse of the information by spy / government / law enforcement agencies to pigeon hole a given TV watcher into that of a terrorist or behavioral risk or sexual deviant or whatever other potentially persecuted individual so as to place them under huge and likely undue scrutiny or to undertake "pre-crime" initiatives by locking them up without them having committed anything other than 1984 thought crimes against the establishment rich or group of powerful race or tribe or whatever.
It may be to safeguard against misuses that the system be kept as benign as possible?
Comments: ** Comment from web user: rboy1 **
Software patents that seem to last an indefinite period of time are just wrong and this happened through mechanisms over which I had no say.
That being said, the concept model of functionality for a home theater PC is that which is patterned after the TiVo.
Specifically the recorder will learn the user's preferences for genres, movie stars, themes, directors, producers, etc, then automatically record shows "that the user might enjoy" that approximately fit their established preferences.
Networks are always coming up with new shows. New networks appear that produce new shows. Old shows get cancelled so new ones should take their place in some way. Old shows get rerun in syndication that have already been watched.
The internet as an information source permits newly developed software to look up information and use it to do exactly what TiVo is charging a monthly or life time fee to do, and the new software could probably improve on what TiVo is doing? I'm not sure how this would impact these evil software patents.
I am no legal expert, but from what I gather, in America it is fine to publish writings about any stuff, so open source software has been done that leaves out just one last step has been published that does not break any commerce UCC law, but describes the missing step in detail using words in English. It would then only be a matter of "the reader" to translate those words into the missing code step to have source code that would perform the patented activity / behaviors, etc.
The near functionality of TiVo could be brought to everyone with the last step of confirming the preferences with the users or family members themselves. This is sort of being done by Netflix where they want to know which user profile is viewing the particular shows or movies. Netflix then is able to offer to show the user movies that they might enjoy based on their previous selections.
Keyword tagging of shows with meta data like genre type(s), movie star cast names, etc, could then be automatically ranked by MCEBuddy based on recorded show information. Each meta data item could have a non-zero score that increases or decreases on a per week or month or year basis. Each such cell score would constitute a histogram or behavior vector. Shows could be mapped to vectors too. A means to Euclidean vector distance matching shows with user profiles could have an adjustable matching threshold to determine if the user might potentially like a given show, however, it may just be a matter of determining if any of the meta data tags match a new show at all what the user already liked?
Instead of scheduling any particular favorite or named shows or anything, if the user's behavior or preferences were already known, then all matching shows could automatically be scheduled for the upcoming days or week, etc. This could automatically determine for the user if any recording conflicts were going to happen so that the user could get another tuner for their PVR system or network of co-operating PVR HTPCs.
In 1999 I joined a company that did statistical imputed demographics of anonymous web visitor's cookies. They would use statistical models to examine prior web page visits to impute future behaviors and so to present to them targeted advertising. If a demographic or cohort group tended to want to refinance their mortgage, then they would be presented an ad for that from a bank or mortgage company. Similarly with buying a car, stock investing, voting patterns for political parties during an election year, and the list goes on. A person's or a user's preferences can be imputed by their past behaviors so that future behaviors can be predicted or anticipated.
MCEBuddy could centrally accumulate demographic characteristics of the shows being recorded and supposedly watched so that when a new show comes on that has virtually identical characteristics could offer to automate the scheduling of the recording of the new show title or let the user decide to let MCEBuddy do this automatically without the user having to approve the new activity.
Would it not be interesting to gather information about what kind of people are watching which shows?
What if all the low intelligence people were watching certain shows, while very high intelligence people preferred other specific shows.
What if the income levels of the shows watchers were fairly specific?
All of these things would be interesting to know.
Who watches Jerry Springer shows or Maury Povich about genetic testing to determine parentage of infidelity women and men?
Is it possible to gather information about shows recorded? Yes.
Is it possible to schedule a Windows Media Center recording programmatically? Probably yes since Microsoft is able to do so after the user clicks their daily show time slot grid selections.
It is certainly possible to produce an output text file that lists the day's or week's current versus suggested new recordings. The user could then use the text file to program their recording software's immediate future shows.
It may even be possible to collect information on why a proposed show is disliked by the user so that the show's producers can be told how to improve the audience size for their show. The writing is bad or not funny or is not entertaining or is cliched too much or the jokes are old or all the jokes are inside jokes about Jewish culture or sayings or activities. The acting is bad. The key character is impossibly smart or stupid. The key actor is hooked on drugs and his work is getting worse. The lighting is too dark. All the actors are ugly. The show is fake or impossible due to issues known by the user (E.G.: the Hawaii Five-O HQ could not be in the Royal Palace).-- Whatever other issues the user could specify in text.
Gathering this information centrally and publishing it like show reviews could generate web site advertising revenue to support the MCEBuddy project. Daily, Weekly, Monthly, Yearly show viewership. Criticisms of shows. etc.
The aggregate knowledge accumulated about shows popularity and genre grouping, etc, would better determine how to characterize shows for viewer cohort groups, thereby more closely suggesting shows that the user would like.
A question just arose in my mind about the misuse of the information by spy / government / law enforcement agencies to pigeon hole a given TV watcher into that of a terrorist or behavioral risk or sexual deviant or whatever other potentially persecuted individual so as to place them under huge and likely undue scrutiny or to undertake "pre-crime" initiatives by locking them up without them having committed anything other than 1984 thought crimes against the establishment rich or group of powerful race or tribe or whatever.
It may be to safeguard against misuses that the system be kept as benign as possible?
Comments: ** Comment from web user: rboy1 **
This is beyond the current scope of MCEBuddy, however if you would like to write up a module that does this I'll be happy to intergate into MCEBuddy and test it.
Keep in mind however that Netflix spent a of money developing this kind of logic, so it's gotto have a pretty good understanding of human behavior