popularity

问题 We have a website that contains a database of places. For each place our users are able to take one of the follow actions which we record: VIEW - View it's profile RATING - Rate it on a scale of 1-5 stars REVIEW - Review it COMPLETED - Mark that they've been there WISH LIST - Mark that they want to go there FAVORITE - Mark that it's one of their favorites In our database table of places each place contains a count of the number of times each action above was taken as well as the average

问题 I've got a table with a BLOB column. What I want to do is get it to be able to pick out words and list them in order. For example if it contained: Bob Smith likes cheese but loves reading Charlie likes chocolate milk Charl loves manga but also likes cookies Then I would get likes loves as a result... is this possible and if so how? I'd like to be able to do it in just mysql alone, but I can use php as well. Thanks in advance, kenny 回答1: Don't think there is any built in MySQL function to do

问题 Is the SO tag ordering a good representation of programming language popularity? My first guess would be that it's not and that it's largely populated by fans of Jeff (who would probably be .Net biased) and fans of Joel (who may be more C/C++ biased among others). Is there a way to get unbiased programming language popularity stats? 回答1: I'm the creator of LangPop.com, which measures a number of metrics to try and gauge popularity. My philosophy is to simply try and measure a lot of different

问题 Say I want to get ten records with the MOST likes in the last 24 hours. Here's what I have so far: $date = date("o-m-d"); $query = "SELECT date_created,COUNT(to),from,to FROM likes WHERE date_created LIKE '$date%' GROUP BY to ORDER BY COUNT(to) DESC LIMIT 10"; The problem with that is that it only gets the most liked from THAT DAY, no matter how far into that day it is. It doesn't get the most liked from the last 24 hours. structure for likes: from | to | date_created | id dates are in

问题 Say I want to get ten records with the MOST likes in the last 24 hours. Here's what I have so far: $date = date("o-m-d"); $query = "SELECT date_created,COUNT(to),from,to FROM likes WHERE date_created LIKE '$date%' GROUP BY to ORDER BY COUNT(to) DESC LIMIT 10"; The problem with that is that it only gets the most liked from THAT DAY, no matter how far into that day it is. It doesn't get the most liked from the last 24 hours. structure for likes: from | to | date_created | id dates are in

问题 Are there any surveys anywhere which report on number of projects and/or people using the assorted Free version control systems? Also interesting is if a similar survey was one over time, to see how things have changed. Obviously, it's hard to measure this sort of thing completely accurately, but it should still be possible to get reasonable estimates. Since tags are annoyingly limited to five items, and I didn't want a bias towards/against any of the systems, for search purposes I'll add the

问题 Are there any surveys anywhere which report on number of projects and/or people using the assorted Free version control systems? Also interesting is if a similar survey was one over time, to see how things have changed. Obviously, it's hard to measure this sort of thing completely accurately, but it should still be possible to get reasonable estimates. Since tags are annoyingly limited to five items, and I didn't want a bias towards/against any of the systems, for search purposes I'll add the

问题 I have the following two tables. BookmarkTag ( BookmarkID, TagID ) Tag ( TagID, Title) Currently I am selecting all the tags with the appropriate BookmarkID. The problem is I want to only select the tag once to avoid duplication in the result and also only bring back the tags the occur the most. This is my current SQL query: SELECT Tag.Title FROM `Tag` INNER JOIN BookmarkTag WHERE BookmarkTag.BookmarkID = 1 AND Tag.TagID = BookmarkTag.TagID' 回答1: You need to put the join condition in an ON

问题 This is for http://cssfingerprint.com I have a largish database (~100M rows) of websites. This includes both main domains (both 2LD and 3LD) and particular URLs scraped from those domains (whether hosted there [like most blogs] or only linked from it [like Digg], and with a reference to the host domain). I also scrape the Alexa top million, Bloglines top 1000, Google pagerank, Technorati top 100, and Quantcast top million rankings. Many domains will have no ranking though, or only a partial

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 8 years ago . While searching around the net for light, fast ORMs targeting .NET, I came across BLToolKit, which seems absolutely amazing in terms