inverted-index Questions
2
I am trying to understand how elastic search supports Geo Spatial search internally.
For the basic search, it uses the inverted index; but how does it combine with the additional search criteria ...
Counterrevolution asked 17/5, 2020 at 14:46
6
Solved
I have this index as a dict.
index = {
'Testfil2.txt': ['nisse', 'hue', 'abe', 'pind'],
'Testfil1.txt': ['hue', 'abe', 'tosse', 'svend']}
I need to invert the index so it will be a dict with dup...
Catt asked 18/2, 2016 at 19:57
3
I was reading about inverted index (used by the text search engines like Solr, Elastic Search etc) and as I understand (if we take "Person" as an example):
The attribute to Person relationship is ...
Chemisette asked 1/8, 2015 at 11:18
2
Solved
I want to implement an information retrieval system which uses vector space model, but with multi-term tokens and a custom term weighting function.
I am considering building my inverted index in P...
Interplay asked 10/1, 2020 at 19:2
2
Consider there are 10 billion words that people have searched for in google. Corresponding
to each word you have the sorted list of all document id's. The list looks like this:
[Word 1]->[doc_i...
Ishtar asked 5/2, 2014 at 16:43
2
Solved
I know this question has been asked again and again in stackoverflow and google, but I find that all the answers cannot satisfy me. Most of the solutions assume that the whole index can fit in memo...
Mariehamn asked 15/3, 2012 at 12:46
1
Here is mine understanding about both
B Tree index :- It is generally used database column. It keeps the column content as key and row_id as value . It keeps the key in sorted fashion
to quickly ...
Arachne asked 28/11, 2017 at 17:14
4
I know that inverted indexing is a good way to index words, but what I'm confused about is how the search engines actually store them? For example, if a word "google" appears in document - 2, 4, 6,...
Incurable asked 18/9, 2014 at 6:54
4
Solved
I understand that a fundamental aspect of full-text search is the use of inverted indexes. So, with an inverted index a one-word query becomes trivial to answer. Assuming the index is structured li...
Megen asked 17/5, 2011 at 14:36
2
Solved
In some blogs and lucene website,I know lucene use data structure "skip list" in inverted index. But I have some puzzle about it.
1:In general,skip list maybe used in memory ,but inverted index is...
Leoni asked 3/12, 2012 at 5:12
1
Solved
Is there anyway in which I can create indexes in Solr to perform full-text search from HBase for Near Real Time.
I didn't wanted to store the whole text in my solr indexes. Made "stored=false"
N...
Ordonez asked 19/5, 2016 at 8:44
4
Solved
Update 2022-08-12
I re-thought about it and realized I was overcomplicating it. I found the best way to enhance this system is by using good old information retrieval techniques ie using 'loc...
Gilbertegilbertian asked 30/5, 2012 at 16:7
5
Solved
I have a full inverted index in form of nested python dictionary. Its structure is :
{word : { doc_name : [location_list] } }
For example let the dictionary be called index, then for a word " sp...
Microtone asked 18/10, 2010 at 9:12
1
Solved
When I read about these two, I thought both of them are explaining the same approach, I googled but found nothing. Is the difference in implementation? Cassandra does the secondary index itself but...
Miki asked 8/10, 2013 at 13:1
3
Solved
I'm implementing an inverted index structure, in particular one that allows boolean queries, and word-level granularity.
I have large database of text, and I keep an index that tells me, for every...
Swanhildas asked 27/6, 2013 at 22:41
1
Solved
I read the paper by Doug Cutting; "Space optimizations for total ranking".
Since it was written a long time ago, I wonder what algorithms lucene uses (regarding postings list traversal and score c...
Farny asked 25/4, 2012 at 21:25
0
After I have implemented a full text search function in my application using Sqlite and FTS tables I would be interested in a performant way of retrieving the FULL inverted index out of my FTS tabl...
Merriott asked 11/3, 2012 at 17:12
3
I want to create a big inverted index of around 106 terms. What method would you suggest? I'm thinking in fast binary key store DBs like Tokyo cabinet, voldemort, etc. Edit: I've tried MySQL in the...
Hallo asked 15/10, 2009 at 8:58
6
Solved
I am working on a project on Info Retrieval.
I have made a Full Inverted Index using Hadoop/Python.
Hadoop outputs the index as (word,documentlist) pairs which are written on the file.
For a quick...
Cyclamate asked 10/9, 2010 at 19:29
1
Solved
The question:
What solution or tips would you have to deal with a very large (multi terabytes) database indexed on strong hashes with high redundancy?
Some kind of inverted storage?
Is there s...
Vowel asked 15/3, 2011 at 14:36
3
Solved
I'm writing an inverted index for a search engine on a collection of documents. Right now, I'm storing the index as a dictionary of dictionaries. That is, each keyword maps to a dictionary of docID...
Sipe asked 18/2, 2011 at 3:52
1
Solved
What can be the database for a search engine? I mean after creating inverted index for a site, where one could store it so that program can create indices for other sites and save them too. Later o...
Doubletongued asked 27/8, 2010 at 6:17
1
Solved
If we want to search a query like this "t1 t2 t3" (t1,t2 ,t3 must be queued) in an inverted index structure ,
which ways should we do ?
1-First we search the "t1" term and find all documents that...
Waterfall asked 17/4, 2010 at 16:33
2
Solved
How do search engines merge results from an inverted index?
For example, if I searched for the inverted indexes of the words "dog" and "bat", there would be two huge lists of every document which ...
Mode asked 6/3, 2010 at 19:15
1
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