JQuery AJAX to load data on scroll but glitches on hitting bottom
来源： https://stackoverflow.com/questions/64192106/jquery-ajax-to-load-data-on-scroll-but-glitches-on-hitting-bottom
trending
Foursquare Trending API Not giving result
问题 I have checked in to few Nearby places from Foursquare app. Now if I am hitting the foursquare trending api it does not give me the list of checked in venues. Can any one help. This is the api I have used: https://api.foursquare.com/v2/venues/trending?ll=23.03,72.58&oauth_token=FMT04M2BJ1.............&v=201.... I have tried this also : https://api.foursquare.com/v2/venues/trending?near=Ahmedabad&oauth_token=ONPEHQ.....&v=201... I am Getting such response. {"meta":{"code":200,"requestId":
List most active users / trending developers on GitHub
问题 There is a nice option get a list of top trending developers on GitHub using this url https://github.com/trending/developers I just want to know if this is possible to get same data via some REST API. Please help. 来源： https://stackoverflow.com/questions/44021454/list-most-active-users-trending-developers-on-github
What is the best way of storing trend data?
问题 I am currently building an application where I am importing statistical data for (currently) around 15,000 products. At current, if I was to maintain one database table for each day statistics from one source it would be increased by 15,000 rows of data (let's say 5-10 fields per row primarily float, int) per day. Obviously equating to over 5 million records per year into one table. That doesn't concern me so much as the thought of bringing in data from other sources (and thus increasing the
What is the best way of storing trend data?
问题 I am currently building an application where I am importing statistical data for (currently) around 15,000 products. At current, if I was to maintain one database table for each day statistics from one source it would be increased by 15,000 rows of data (let's say 5-10 fields per row primarily float, int) per day. Obviously equating to over 5 million records per year into one table. That doesn't concern me so much as the thought of bringing in data from other sources (and thus increasing the
Calculate a trendline when the x-axis uses dates
问题 The post on calculating trend lines on a scatter plot (How do I calculate a trendline for a graph?) is quite helpful, but I'm curious how one could go about finding a trend line on a graph where the x-axis is a DateTime field, rather than an integer. For example, consider the case of charting the number of subscribers to a mailing list over time: Jan 1: 100 subscribers Jan 2: 105 subscribers Jan 5: 120 subscribers Jan 10: 117 subscribers etc... The problem I'm running into is figuring out the
Calculate a trendline when the x-axis uses dates
The post on calculating trend lines on a scatter plot ( How do I calculate a trendline for a graph? ) is quite helpful, but I'm curious how one could go about finding a trend line on a graph where the x-axis is a DateTime field, rather than an integer. For example, consider the case of charting the number of subscribers to a mailing list over time: Jan 1: 100 subscribers Jan 2: 105 subscribers Jan 5: 120 subscribers Jan 10: 117 subscribers etc... The problem I'm running into is figuring out the 'run' (delta x) portion of this... since the intervals are not going to be evenly spaced, we can't
What is search.twitter.com's “trending topics” algorithm?
What algorithm does twitter use to determine the 10 topics that you can see at search.twitter.com ? I would like to implement that algorithm and I would also like to show the 50 most popular topics (instead of 10). Can you describe the most efficient algorithm? Thanks! (Twitters API can be found at- http://apiwiki.twitter.com/REST%20API%20Documentation ) Also, I would like to be able to implement the algorithm by searching through the public timeline- http://twitter.com/statuses/public_timeline.rss Twitter's trending algorithm is not just volume of keywords. That's part of it, but there's also
What is search.twitter.com's “trending topics” algorithm?
问题 What algorithm does twitter use to determine the 10 topics that you can see at search.twitter.com? I would like to implement that algorithm and I would also like to show the 50 most popular topics (instead of 10). Can you describe the most efficient algorithm? Thanks! (Twitters API can be found at- http://apiwiki.twitter.com/REST%20API%20Documentation) Also, I would like to be able to implement the algorithm by searching through the public timeline- http://twitter.com/statuses/public_timeline
Deciding and implementing a trending algorithm in Django
I have a Django application in which I need to implement a simple trending/ranking algorithm. I'm very lost as a : I have two models, Book and Reader . Every night, new books are added to my database. The number of readers for each book are updated too every night i.e. One book will have multiple reader statistic records (one record for each day). Over a given period (past week, past month or past year), I would like to list the most popular books, what algorithm should I use for this? The popularity doesn't need to be realtime in any way because the reader count for each book is only updated