I am using the Glossary directive in Sphinx and would like to have a list of all terms include in the glossary, linked to the terms. Is there a simple way to do this automatically?
Thanks!
Related
I am new to Elastic Search. I would like to know if the following steps are how typically people use ES to build a search engine.
Use Elastic Search to get a list of qualified documents/results based on a user's input.
Build and use a search ranking model to sort this list.
Use this sorted list as the output of the search engine to the user.
I would probably add a few steps
Think about your information model.
What kinds of documents are you indexing?
What are the important fields and what field types are they?
What fields should be shown in the search result?
All this becomes part of your mapping
Index documents
Are the underlying data changing or can you index it just once?
How are you detecting new docuemtns/deletes/updates?
This will be included in your connetors, that can be set up in multiple ways, for example using the Documents API
A bit of trial and error to sort out your ranking model
Depending on your use case, the default ranking may be enough.
have a look at the Search API to try out different ranking.
Use the search result list to present the results to the end user
I'm trying to refine the search results received by my application by including the sort parameter in my HTTP requests. I've combed through the documentation here, but I can't find exactly what I'm looking for.
I'm searching for DOC filetypes, and I am able to sort by date or sort by metadata, as in alphabetizing by title, author, etc. I can also filter by whether or not the title contains certain keywords. What I want to do is to sort by whether or not the title contains certain keywords (these documents appearing first in the results), but to still keep the other results.
For example, with keywords [winter, Christmas, holiday] I could do a descending sort by the sum of inmeta:title~winter, inmeta:title~Christmas, inmeta:title~holiday and the top result might be
Winter holidays other than Christmas
followed by documents with one or two of the keywords, followed by documents that meet the other search parameters but contain no keywords.
Is this possible in GSA?
I finally achieved what I was trying to do, so figured I'd post in case it helps anyone else.
As far as I know, it is impossible to create a query with this capability, but with Google's Custom Search API, you can create a search engine with the desired keywords in the context file (by editing the XML file directly or by adding keywords through the CSE console). Then you can formulate the query as usual, but perform the search on your personalized engine.
https://developers.google.com/custom-search/docs/ranking
We do understand the behavior of user by analyzing the tags he usually search for.
Now we need to give higher precedence for such tags for these users. I would like to know how we can achieve this using Elasticsearch in an elegant manner.
Well the best approach for this would be to
Analyse the behavior of the user
See which all keywords are of his interests
Maintain one document per user in another index which have all these keywords.
On the searches for that user , boost the occurrence of these keywords using function_score query
You can use terms filter inside boost function to achieve this.Add the boost function under functions in the function score query
In terms filter , you can point to this users document and get the values dynamically
Use custom filter key so that the cache key constructed wont eat too much memory
In this approach , you can avoid lots of code paths in client code.
I've designed a news hub system which read Rss links and stores whole news in the database. Now I want to implement a search system using tags. Each news has it's own tags. There are lots of algorithms to implement this but I don't know what is the most common to have the best performance. Currently I'm using Elastic search database and I use multiple keyword search. Which one of these are the best?
1- to store tags in a list or a string with a separator and search among them?
2- work like a relational system and have a table of tags, and a table of news tags to have a record for each news tag. and 5 records for 5 tags of one news
3- another algorithm which I don't know
Seems like you want something like the inverted index
This is an index, that for each term (hashtag in your case) holds a list of document ids which contain this hashtag.
For example, if you have 3 documents: d1,d2,d3 with the hash tags:
d1: #tag1, #tag2
d2: #tag3
d3: tag3, #tag2
The inverted index will be:
#tag1: d1
#tag2: d1,d3
#tag3: d2,d3
It is fairly easy using the inverted index to find all documents that contain a certain term (hashtag in your case), by simply going over the list the is attached to this term.
This datastructure is also very efficient for union (or queries) and intersection (and queries).
This DS is very popular for information retrieval for full text search and also is often used in semi-structured search.
For more information, you can read about Information Retrieval in general. Mannings Introduction to Information Retrieval represents this Data structure in the book's first chapter.
ElasticSearch will handle that very well and you have multiple ways of implementing that behavior.
What you want is a parent child relationship between a news article (parent) and its tags (children).
Depending on whether you need to update the hashtags after indexing your news articles or not, you could go with storing them in the news article or as separate documents pointing to the news article document as their parent.
See more details here: http://www.elasticsearch.org/blog/managing-relations-inside-elasticsearch/
You mentioned a choice between storing the tags as a list or a comma separated string. Go with the list as that is more idiomatic and ElasticSearch can handle json objects (you would actually analyze the string and turn it into a list of token anyways).
I have a search page with multiple search options(input text boxes) Based on the search criteria entered , I need to create a dynamic search query. (I need search results based on the fields for which user inputs some value)
or you can use <af:quickQuery> for a simple search. Here's the sample code taken from Oracle demo.
<af:quickQuery label="Search" id="search" searchDesc="search" binding="#{editor.component}" value="#{demoQuickQuery.queryDescriptor}" queryListener="#{demoQuickQuery.processQuery}">
</af:quickQuery>
If you are using ADF/BC, this is built-in. Just use the <af:query/> component.
af:query is the more robust of the two query components, but does require you create a viewcriteria object in the VO that will be the basis for the query. However it is very powerful: dynamically add new attributes to the query at runtime, change query rules (starts with, contains, etc)
af:quickquery allows you to choose one and only one attribute to query on at a time.
Please note: these components (and the executewithparms) are the only supported query methods in ADF Faces 11g