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I just published my game on google two weeks ago and not getting installs. How can i promote or make it to come in search results or players find my game?
For you instant help i have only keyword suggestions for you. Did you do keyword research before uploading your game? if no then go with it
Finding The Best Keyword For Your App (ASO)
According to MobileDEVHQ test, apps with keywords inside title ranked on the average 10.3% greater than those without having a keyword in the title.
Unlike Apple store, Google does not have a keyword text field for you to put words that you think it can be important for the players to find your app.
However, Google will user your words in your app description. It means that everything you write about your app can be used to generate results in search. Therefore, I personally recommend you to pay more attention to your app description.
On the other hand, your App Title and Company Name have high weight in search results as well.
Hope this helps.
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Hail all:
Though I am 52, and active with computers since 1986 (those were more oversized calculators, to be correct), i have no idea what is meant with Form Data.
I know, I know, this is insane, but i just never came across this before.
Might be, I DO know it, but by a different name, maybe Dutch.
Still I am quite stuck, to be quite honest.
Tried to google it, got heaps on information as to how to clear it, restore it, save it, unsave it, ... , but nowhere an in-depth explanation of what is meant with form Data.
Now, I am building a Batch File, for speed-cleaning of certain data, when my Firefox starts to get slow ... .
Came across the "erase Form Data" command, but nae clue as to what Form Data is.
Thank you.
Ben
That rundll32 command only applies to Internet Explorer and will not touch Firefox.
Anyway, form data is data entered into html forms like your name, address and telephone etc. These form fields are edit boxes, check/radio buttons and drop-down selectors.
Firefox has its own setting to clear form data when you close the browser. Form data is very low on the list of what slows down your browser...
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All,
I'm interested in the ability to retrieve a specific element within a FHIR resource using a single URL call. For example, suppose I'm interested in the gender of my patients. I would read the using the URL, without having to walk the XML node path every time. Right now, this functionality does not appear to exist. What do you think about the usefulness of this? Would like to get a sense of the community interest. Thanks.
-Jeff
For the default query mechanism, you can't bring anything back other than the full resource. (And don't even have a guarantee that the desired element will be present on all instances of the resource unless that element was part of your search criteria - in which case, why bother asking? :>). There's a new mechanism for defining custom queries. Refer to _query in the search/query section of the FHIR spec. However, it's not clear whether this will allow retrieval of anything other than full resource instances either.
This functionality does not exist at this time. It's on the wishlist, and we're trying to decide whether we can frame it in a sensible and safe fashion. The case you describe is relatively obvious, but many others aren't. And, in fact, when I think about it, it's not really clear to me how it works. what do you get back? just the gender element? so the server needs to - in effect - do the node walk for you, and you get, instead, to deal with a profusion of different schemas. It's not really obvious to me that this is a net saving for the client, and it's certainly a greater cost for the server.
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Are there any well known algorithms for figuring out the "Recommended Items" that websites often use? On a new project, I'm currently tracking things they've viewed, purchased, searched on, favourited, etc. I am curious what the best way would be to utilize all of this information to intelligently give meaningful recommendations.
I recommend you two books:
Programming Collective Intelligence
Toby Segaran (ISBN: 978-0-596-52932-1)
http://shop.oreilly.com/product/9780596529321.do
In this book, "Chapter 2. Making Recommendations" covers:
Collaborative Filtering
Collecting Preferences
Finding Similar Users
Recommending Items
etc..
Collective Intelligence in Action
Satnam Alag (ISBN: 1933988312)
http://www.manning.com/alag/
In this book, "Capter 12. Building a recommendation engine" covers:
Recommendation engine fundamentals
Content-based analysis
Collaborative filtering
I hope it helps you.
I thing easyrec would be a good starting point for you to track such user interactions.YOu just need to include some javascript code to your page and it does the rest.
http://easyrec.org/recommendation-engine
You can also check the other recommendation engines listed here
https://stackoverflow.com/questions/4469281/recommendation-engine#
but problem is most of these frameworks target user rating predicting over collaborative filtering.
There are mechanisms like 'people who bought this items also bought'.
Category tops: if someone is viewing 'computers/storage devices', show the top selling products in that category.
Previous searches: use the (non offensive) items that the user has browsed in previous sessions. (there is a way to track via cookie for non logged in users)
Promoted items: show items that are promoted and make big business benefit. However, do not get swayed away by this, show one or two promoted items to keep viewers interest.
There are recommendation engines, but as a developer business needs drives the recommendation creation. So, many times I find it's better to hack some SQL scripts to get them.
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I read about the Ajax API here Scraping/Parsing Google search results in Ruby
For some reason, I get completely different results from the same query when using the Ajax API than I do from normal search. Is there a simple explanation?
here are the two:
http://www.google.com/search?hl=en&rls=en&q=site%3Ahttp%3A%2F%2Ftwitter.com%2F+following&aq=f&oq=&aqi=0
http://ajax.googleapis.com/ajax/services/search/web?v=1.0&hl=en&rls=en&q=site%3Ahttp%3A%2F%2Ftwitter.com%2F+following&aq=f&oq=&aqi=0
both have parameters hl=en&rls=en&q=site%3Ahttp%3A%2F%2Ftwitter.com%2F+following&aq=f&oq=&aqi=0
run at the same time, they never give me the same results, often they're very different (depending on the search parameters.
what's going on?
Also, the
I'm guessing here, but usually if you do a google search using your regular account and have the history enabled, google will use your previous search to give you more accurate results. There are a bunch of things like that that may cause differences between searches with the exact same keyword(s)
The Axaj API is suspected to offer slightly different results to avoid the automatic harvesting of search result (SERP) info.
This is the same reason they only return 8 results per page and upto 8 pages via their AJAX api.
In principal they don't want people collecting this data, as it is usually used for SEO purposes in an attempt to coerce certain sites higher unduly.
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I'm having trouble with project management & am looking for a good tool that will be a good match for the way my brain works (very associatively). I'd like a bug-tracker but one that I can group tasks into topics and associate the topics to each other in a graph (see the Wikipedia entry on Topic Maps ) so that I can find & visualize easily the "big picture". I've tried using AbstractSpoon's ToDoList and it works well but it's hierarchical and after about 30 or 40 entries I get lost in a maze of things to do.
any suggestions?
edit: I've now tried Freemind, Conzilla, XMind, and VUE. Freemind and Conzilla were a little flaky. XMind seems to be the most polished of the four; they have a "pro" version which is non-free (pay by the month >:( which is weird) but an open-source base version which is free. You can't export the data directly from the program with the free version, but the storage format is just a .jar-style (ZIP file w/ extension .xmind) file that contains a "contents.xml" that is easily parsed if I needed to.
#codeslave:
but how important is the visual
representation any way
Visualization is everything! I've got information overload and I need to be able to navigate a mess of information. I don't want it to be super-Powerpoint-polished, but I need to be able to use the associations that I create to remind myself how to find what I'm looking for. In an ideal world you could just full-text search everything, but that only works if you can remember the search phrase. Often I'll file something under "algorithm" and when I go to look for it I look under "programming" instead, or vice-versa. Associativity solves that problem by allowing me to visually browse my "mental model" of the information I've stored.
You can always get an CVS export from your "favourite" tool and create Topic Maps maps you can view with the Omnigator or the xSiteable tool. I used to have a few XSLT files to do such a job dealing with JIRA data. If the interest is high enough, maybe a ressurection is needed?
I've developed a small utility that will import MindMaps into Project plans. Let me know if something like this is helpful and I will develop it further.
Right now I just use it one-way from MindMap -> Project file. I generally use this for brainstorming and scope management, then export to Project when we like the scope of what we are working with for more formal project management.
What about using good old FogBugz? You can associate cases together pretty easily. You don't get the pretty graph of the topic space/mind map (feature idea Joel) but how important is the visual representation any way.