I need help with search engine in Presta 1.7, I hope I will find a good soul to help me out.
When I want to search for example: VR-50HD, EVOLVE 50 and I type the exact same thing in the search engine, it is all perfect, same situation when I use space instead of dash (VR 50HD).
The problem occurs when phrases are without any punctuation marks like VR50HD, EVOLVE50. It's like product does not exist.
Another problem I got is with the results of the search engine. When searching VR-50HD, engine will add a lot of products where "50" appears in the product or even the category.
Regards
You can solve your first problem using aliases. Go to search preferences and enter VR50HD as an alias for VR-50HD.
Your second problem is caused by "Search within word" option. You need to disable it.
You can read more about it at Prestashop documentation, Search parameters.
Aliases will be difficult to make because there are too many products, so it will be difficult to enter the combination manually. I would prefer to modify the search engine so that it would deal with '-' and spaces.
Related
I have a PHPBB. and here it's working as word wise. I have tried magento tutorial, it always separates the words, thus searching for "magento" and "tutorial". is there a possibility to search whole sentence as written?
I need to do the sentence search in my web site. If any one know this, Please help me .
Is there is any settings ? or any code..
Please help me
If you Google this particular problem, you will see one of the first results (https://www.phpbb.com/community/viewtopic.php?p=12772555) that contains the answer to your question. If indeed I am understanding your question, as "word wise" in regards to PHPBB is not very descriptive.
(Programming Language: PHP v5.3)
I am working on this website where I make search on specific websites using google and bing search APIs.
The Project:
A user can select a website to search from a drop-down list. We have an admin panel on this website. If the admin wants to add a new website to the drop-down list, he has to provide two sample URLs from the site as shown below.
On the submit of form a code goes through input and generates a regex that we later use for pattern matching. The regex is stored in database for later use.
In a different form the visiting user selects a website from the drop-down list. He then enters the search "query" in a text box. We fetch results as JSON using search APIs(as mentioned above) where we use the following query syntax as search string:
"site:website query"
(where we replace "website" with the website user chose for search and replace "query" with user's search query).
The Problem
Now what we have to do is get the best match of the url. The reason for doing a pattern match is that some times there are unwanted links in search results. For example lets say I search on website "www.example.com" for an article names "abcd". Search engines might return these two urls:
1) www.example.com/articles/854/abcd
2) www.example.com/search/abcd
The first url is the one that I want. Now I have two issues to resolve.
1) I know that the code that I wrote to make a regex pattern from sample URLs is never going to be perfect considering that the admin adds websites on regular basis. There can never be enough conditions to check for creating a pattern for different websites from same code. Is there a better way to do this or regex is my only option?
2) I am developing on a machine running Windows 7 OS. preg_match_all() returns results here. But when I move the code to server which is running Linux OS, preg_match_all() does not return any results for the same parameters? I can't seem to get why that is happening. Anyone knows why is this happening?
I have been working on web technologies for only past few weeks, so I don't know if I have better options than regex. I would be very grateful if you could assist me or guide me towards resources where I can find solution for my problems.
About question 1:
I can't quite grasp what you're trying to accomplish so I can't give any valid opinion.
Regarding question 2:
If both servers are running the same version of PHP, the regex library used ought to be the same. You can test this, however, by making a mock static file or string to test against the regex and see if the results are the same.
Since you're grabbing results from the search engines and then parsing them, the data retrieve might not be the same. Google/Bing change part of the data regarding the OS you use and that might alter preg results.
Within my application UI want to avoid id numbers within the urls if possible so the best way to do this would be to create a a unique version of the title that's valid for url schemas.
SO do a something the same but as the you allow duplicate questions they have the id within the URI!
http://stackoverflow.com/questions/3637971/how-to-edit-onchange-attribute-in-a-select-tag-using-jquery
Wordpress have implemented such features as well
my question is:
What's the best way to accomplish this, sticking to the URI RFC as well as keeping search engines happy.
The Drupal Path/Pathauto modules do this, so I'd check that implementation. For a quick hit, if there are titles that reduce to duplicates:
CaseySoftware is awesome
CaseySoftware is awesome!
They would become:
caseysoftware-is-awesome
caseysoftware-is-awesome-0
You will definitely need to scrub out punctuation, but you may want to do the same to common articles like "a, the, is".
To keep search engine happy
You should use this in your head :
<link rel="canonical" href="http://yoursite.com/page/uniqueTitle/"/>
This will tell search engine that all page that have that specific canonical name are the same.
For example, this page has the following line :
<link rel="canonical" href="http://stackoverflow.com/questions/3637990/foolproof-unique-title-for-urls">
If you change the title, that value will stay the same. This is how search engine really know it's all the same page.
How to generate
As for how those URL are generated, you should stick to the lower case alphanumeric characters ([a-z0-9]) and replace space with "-".
"Friendly URLs — Possibly all of what makes a good URL structure" is a nice article about that topic, and it includes a short example implementation in Python.
To make the URLs really unique without having to use a numeric ID everywhere, I'd try to generate my new URL, see if it already exists (shouldn't occur very often), and only if it does, append a short sequence number at the end.
As the title says, I need a search engine... for mysql searching.
My website is PHP based.
I was going with sphinx but my hosting company doesn't support full-text indexes!
So a search engine to be used without full-text!
It should be pretty powerful, and must include atleast these functions below:
When searching for 'bmw 520' only matches where these two words come in exactly this order is returned. not matches for only 'bmw' or only '520'.
When searching for 'bmw 330ci' results as the above will be returned, but, WITH AND WITHOUT the ci extension. There are a nr of extensions in cars as you all know (i, ci, si, fi etc).
I want the 'minus sign' to 'exclude' all returns containing the word after the sign, ex: 'bmw -330' will return all 'bmw' results without the '330' ones. (a NOT instead of minus sign is also ok)
all special character accents like 'é' are converted to their simple values, in this case 'e'.
list of words to ignore completely in the search
Thanks guys!
The Zend_Lucene search competent works fairly well. I am not sure how it would cope with your second requirement, however if you customized the tokenized you should be able to do it by treating a change from letters to numbers as a new word.
The one I am really not sure about is the top requirement. Given how it is indexed, order becomes irreverent in the search, so you may not be able to do it without heavy editing of Lucene, writing a filter (using lucene to pull the matches, then checking the order), or writing your own solution. All of these will slow the search down, and add load to your server.
There is also solr, but I have never used it and don't know anything about it. Sphinx was another one, but I see you have already ruled that out.
Xapian is very good (very comprehensive) if you have the time for the initial setup.
It functions as you would expect a search engine to work, tell the indexer what bits of information to index under what namespace/table/object (Page, Profile, Products etc), then issue a query for your users based on keywords, it also supports google style tags e.g. "profile:Mark icecream" would search my profile for the word icecream, i seem to remember it supporting ranges too for data you specify as numeric.
Can be used in local mode which can offer spelling modifications (Did you mean?), or remote mode that many sites can index to and query from.
What really saved me one time was the ability to attach transient non searchable data to an indexed item, e.g. attaching the DB id to all data indexed for that record, very good for then going and getting the whole record from the DB when your matches come back from xapian.
I have used a couple of Search Engines on my site during it's time, but in the next rebuild I'm planning to move to Google Site Search.
There are several reasons for this:
Users are very familiar with the Google style of search result listings which improves usability and hence click-through rates
The Google engine is very good at guessing when to use the page description and when to use a fragment of the page (it also very good at getting relevant fragments compared to some other engines)
It's used by thousands of very popular websites
Google is the most popular search engine around so you know their technology is both reliable and accurate
Google Site Search begins at $100 per annum for 1000 pages or less (and a limit on queries)
or you can use the free Google Custom Search Engine (but this has much less customizability)
I am creating a search engine for my php based website. I need to search a mysql table.
Thing is, the search engine must be pretty 'smart', so that users can easily find their items (it's a classifieds website).
I have currently set up a FULLTEXT search with this piece of code:
MATCH (headline) AGAINST ($querystring)
But this isn't enough...
For instance, lets say the field headline contains something like Bmw 330ci.
If I search for 330, I wont get any results. The ending ('ci') is just one of many endings in car models which must be taken into account when searching the table.
Or what if the headline field is bmw330? Also no results, because it only matches full words.
Or also, what if the headline is bmw 330, and I search for bmw 520, still with FULLTEXT I will get the bmw 330 as a result, even though I searched for bmw 520... Not good!
How should I solve this problem?
When it comes to fulltext search, people who want free solutions often tend to use either Sphinx or Solr.
I've not used any of those two, but I've read several times that they were great, and easy to use from/with PHP and MySQL.
Don't reinvent the wheel: inverted-index search engine are already there, free of charge, open source, easy and powerful. They have all what you need for such kind of search requirements.
Depending on your context, you can choose between a search library like Apache Lucene or a search platform like Apache Solr or Elastic Search.
All of them have a great documentation and they are widely used. That extremely minimizes the learning curve, even if you never worked with fulltext search world.