Users still don't care about advertising in Google? It's now (hidden) everywhere. But it's free! Their secret is to go step-by-step, one little ad at a time.
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Users still don't care about advertising in Google? It's now (hidden) everywhere. But it's free! Their secret is to go step-by-step, one little ad at a time.
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"Great idea, my only concern is that popularity could easily make the content stream from that kind of list totally irrelevant (not related to hockey): 1) Most hockey fans are not only tweeting about hockey (I'm a hardcore hockey fan, but most of my tweets are not about hockey) 2) It's on request, so spammer, corpo accounts, marketing, etc. could be easily added. Managing such lists is no easy task. Wondering if there is also a limit on the number of user a list can be made of?"
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"Great idea, my only concern is that popularity could easily make the content stream from that kind of list totally irrelevant (not related to hockey): 1) Most hockey fans are not only tweeting about hockey (I'm a hardcore hockey fan, but most of my tweets are not about hockey) 2) It's on request, so spammer, corpo accounts, marketing, etc. could be easily added. Managing such lists is no easy task. Wondering if there is also a limit on the number of user a list can be made of?"
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"Great idea, my only concern is that popularity could easily make the content stream from that kind of list totally irrelevant (not related to hockey): 1) Most hockey fans are not only tweeting about hockey (I'm a hardcore hockey fan, but most of my tweets are not about hockey) 2) It's on request, so spammer, corpo accounts, marketing, etc. could be easily added. Managing such lists is no easy task. Wondering if there is also a limit on the number of user a list can be made of?"
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I don't see a significative difference between Digg and Tweetmeme. Growing in popularity, an app like Tweetmeme will tend to be just another digg and it will become more difficult for news to reach the first page, will have deal with evil manipulations, etc. At some point it's a question of recensy versus popularity versus authority (friends, reputation, ...) ... -> a ranking problem....
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I don't see a significative difference between Digg and Tweetmeme. Growing in popularity, an app like Tweetmeme will tend to be just another digg and it will become more difficult for news to reach the first page, will have deal with evil manipulations, etc. At some point it's a question of recensy versus popularity versus authority (friends, reputation, ...) ... -> a ranking problem. The more real time you are, the less you can rely on the popularity factor. Popularity factor is the main idea behind Digg and Tweetmeme, they just need better ranking, search, filtering, ... a better information access platform. Real time is overratted. The average person have better things to do than scanning (in real time :-P) lots of real time news just in case of .. They just want to know what everybody knows. But real time information is very important to a lot of people too. Is the real time race winner the one on which the story have been submitted first? Then the popularity of the service is a...
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Another demographic switch. If not Facebook or MySpace, where are younger users moving now? What's next, say the fickle?
- Rob McNair-Huff
I've seen nothing but youth surging to Facebook. Those who get it stay with it, and those who don't are like the Twitter users who come, join, and never update. Just from my knowledge of y'know...being a youth.
- Sean Quinn
Numbers and statistics, we can make them say almost anything we want... Here is my view: We can't really say that users in the 18-24 age range are going somewhere else by looking at these numbers alone. There are more users in each age range. We can say for sure that the progression is less aggressive in some age range, but is it that problematic? One thing we have to consider here is...
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I think one of @MOOBER 's points above is insightful. The data seems to show a clear story about the student demographic - The age demographic 18-24 shows absolute growth. However, his point about the "unknown gender" growth of 291% doesn't show WHO isn't sharing that data. I would think it more likely that the 55+ growth (generally less tech savvy - no offense) would account for the...
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- Steffan Antonas
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Comment on: Facebook's Own Estimates Show Declining Student Numbers; Now More Grandparents Than High School Users - http://www.readwriteweb.com/archive...
Numbers and statistics, we can make them say almost anything we want... Here is my view: We can't really say that users in the 18-24 age range are going somewhere else by looking at these numbers alone. There are more users in each age range. We can say for sure that the progression is less aggressive in some age range, but is it that problematic? One thing we have to consider here is that there is a limit to the progression: the total number of people "playing" on the web!!! Now let's look at the percentage of users per range and let's compare them with the percentage for the entire web ecosystem. (I'm using these numbers for the complete web users: [0-17]:10%, [18-24]:27%, [25-34]:27%, [35-54]: 25%, [55+]:11%) It really looks like the Facebook numbers are converging to the general web numbers and the only range still "far" from the global numbers is the 55+ range. You can say what you want , but Facebook total global numbers of users are still in fast progression and they will soon...
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"I agree, but credibility of a user is not so different than the credibility of a web site for Google. It's more personal and thus closer to interests. It really depends on what kind of things you need to find and what kind of search you need to do: discovery, exploration, simple facts, website, opinions, etc. Social based search have a lot of potential, but I'm pretty sure it can’t do well alone for all kinds of search. A given user is maybe credible and shares similar interests with you, but he is maybe also a lot into lawn mowers and you maybe not :-) That's why I still believe that semantic content and interests representations are also part of the solutions. About semantic representation, I think that it's an error to reduce the semantic web to the linked data. I completely agree that ambiguity will always remain. Semantic technologies such as semantic search can also “reach semantics” using analytics techniques like text mining. Classifications are necessary and helpful in..."
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"I agree, but credibility of a user is not so different than the credibility of a web site for Google. It's more personal and thus closer to interests. It really depends on what kind of things you need to find and what kind of search you need to do: discovery, exploration, simple facts, website, opinions, etc. Social based search have a lot of potential, but I'm pretty sure it can’t do well alone for all kinds of search. A given user is maybe credible and shares similar interests with you, but he is maybe also a lot into lawn mowers and you maybe not :-) That's why I still believe that semantic content and interests representations are also part of the solutions. About semantic representation, I think that it's an error to reduce the semantic web to the linked data. I completely agree that ambiguity will always remain. Semantic technologies such as semantic search can also “reach semantics” using analytics techniques like text mining. Classifications are necessary and helpful in..."
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"I agree, but credibility of a user is not so different than the credibility of a web site for Google. It's more personal and thus closer to interests. It really depends on what kind of things you need to find and what kind of search you need to do: discovery, exploration, simple facts, website, opinions, etc. Social based search have a lot of potential, but I'm pretty sure it can’t do well alone for all kinds of search. A given user is maybe credible and shares similar interests with you, but he is maybe also a lot into lawn mowers and you maybe not :-) That's why I still believe that semantic content and interests representations are also part of the solutions. About semantic representation, I think that it's an error to reduce the semantic web to the linked data. I completely agree that ambiguity will always remain. Semantic technologies such as semantic search can also “reach semantics” using analytics techniques like text mining. Classifications are necessary and helpful in..."
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"I agree, but credibility of a user is not so different than the credibility of a web site for Google. It's more personal and thus closer to interests. It really depends on what kind of things you need to find and what kind of search you need to do: discovery, exploration, simple facts, website, opinions, etc. Social based search have a lot of potential, but I'm pretty sure it can’t do well alone for all kinds of search. A given user is maybe credible and shares similar interests with you, but he is maybe also a lot into lawn mowers and you maybe not :-) That's why I still believe that semantic content and interests representations are also part of the solutions. About semantic representation, I think that it's an error to reduce the semantic web to the linked data. I completely agree that ambiguity will always remain. Semantic technologies such as semantic search can also “reach semantics” using analytics techniques like text mining. Classifications are necessary and helpful in..."
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"Sorry to join this interesting discussion late. I agree and partially disagree with several things in here :-) so I will try to focus on the latest comments only. Speaking of what I call “social signatures”, I agree that a search engine on top of social network content works best when you take into account not only the pages, but also their readership, their general content consumption patterns, their profiles, their social graphs, etc. Nevertheless, I believe that one can reach much higher levels of accuracy/context if he could analyze what the content is about. That's where tagging, text mining and semantic search comes in (analysis of content aboutness). A combination of these 2 types of information (what content is about and what user is interested in) is key for a killer application for mulidimentional and global content access system. A good example where the human factor can’t really help is at the moment of creation/ingestion of a new piece of content. How can the algorithm..."
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"Sorry to join this interesting discussion late. I agree and partially disagree with several things in here :-) so I will try to focus on the latest comments only. Speaking of what I call “social signatures”, I agree that a search engine on top of social network content works best when you take into account not only the pages, but also their readership, their general content consumption patterns, their profiles, their social graphs, etc. Nevertheless, I believe that one can reach much higher levels of accuracy/context if he could analyze what the content is about. That's where tagging, text mining and semantic search comes in (analysis of content aboutness). A combination of these 2 types of information (what content is about and what user is interested in) is key for a killer application for mulidimentional and global content access system. A good example where the human factor can’t really help is at the moment of creation/ingestion of a new piece of content. How can the algorithm..."
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"Sorry to join this interesting discussion late. I agree and partially disagree with several things in here :-) so I will try to focus on the latest comments only. Speaking of what I call “social signatures”, I agree that a search engine on top of social network content works best when you take into account not only the pages, but also their readership, their general content consumption patterns, their profiles, their social graphs, etc. Nevertheless, I believe that one can reach much higher levels of accuracy/context if he could analyze what the content is about. That's where tagging, text mining and semantic search comes in (analysis of content aboutness). A combination of these 2 types of information (what content is about and what user is interested in) is key for a killer application for mulidimentional and global content access system. A good example where the human factor can’t really help is at the moment of creation/ingestion of a new piece of content. How can the algorithm..."
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"Sorry to join this interesting discussion late. I agree and partially disagree with several things in here :-) so I will try to focus on the latest comments only. Speaking of what I call “social signatures”, I agree that a search engine on top of social network content works best when you take into account not only the pages, but also their readership, their general content consumption patterns, their profiles, their social graphs, etc. Nevertheless, I believe that one can reach much higher levels of accuracy/context if he could analyze what the content is about. That's where tagging, text mining and semantic search comes in (analysis of content aboutness). A combination of these 2 types of information (what content is about and what user is interested in) is key for a killer application for mulidimentional and global content access system. A good example where the human factor can’t really help is at the moment of creation/ingestion of a new piece of content. How can the algorithm..."
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"I think more and more news web sites are going in that directions, we also have to remember that semantic web is still in progression. I like "drive it's own usage" :-) I think it is one of the most interesting application that could be build on top of a semantic search platform."
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"I think more and more news web sites are going in that directions, we also have to remember that semantic web is still in progression. I like "drive it's own usage" :-) I think it is one of the most interesting application that could be build on top of a semantic search platform."
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"I think more and more news web sites are going in that directions, we also have to remember that semantic web is still in progression. I like "drive it's own usage" :-) I think it is one of the most interesting application that could be build on top of a semantic search platform."
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"I think more and more news web sites are going in that directions, we also have to remember that semantic web is still in progression. I like "drive it's own usage" :-) I think it is one of the most interesting application that could be build on top of a semantic search platform."
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