search-engine

I am trying to write a kind of simple search engine. I have a determined number of main subjects that are associated with specific keywords. The aim is to recognize the main subject from an input partial keyword. I am thinking of using a : Dictionary<string, List<string>> . I'll have to search in this dictionary and find, e.g., all keywords beginning with a 3 characters string and their main subject which is associated. Is my solution the best one ? And how can I efficiently look through those data without having to check manually every List , string by string . Let my know if I'am not clear.

I am trying to implement location(cities, regions, countries, objects) fuzzy search using Solr server. Currently, my index contains about 0.8-1.0 M items. It works really well using fuzzy search (~0.7) but is too slow for me (0.2-0.6 sec very often). The tokenizer that is used is <tokenizer class="solr.StandardTokenizerFactory"/> . As an alternative I tried <tokenizer class="solr.WhitespaceTokenizerFactory"/> - it is great in terms of performance (about 100x faster) but it does not offer fuzzy search:( Do you know any different approach I could use? I would like to benefit using fuzzy search

When I try python manage.py rebuild_index , error occur: self.conn.bulk_index(self.index_name, 'modelresult', prepped_docs, id_field=ID) AttributeError: 'ElasticSearch' object has no attribute 'bulk_index' I found the link https://github.com/toastdriven/pyelasticsearch/blob/master/pyelasticsearch.py#L424-469 with pyelasticsearch.py, and I dont know which edition it is. Anyway there is bulk_index in that code, buy my pyelasticsearch.py is not. Anyone has the same experience? thanks for ur time. Plus: django-haystack 2.0.0.beta, pyelasticsearch 0.0.6 Django-haystack will NOT work with original

Currently, I am using Lucene version 3.0.2 to create a search application that is similar to a dictionary. One of the objects that I want to display is a sort of "example", where Lucene would look for a word in a book and then the sentences where the words were used are displayed. I've been reading the Lucene in Action book and it mentions something like this, but looking through it I can't find other mentions. Is this something you can do with Lucene? If it is, how is can you do it? I believe what you are looking for is a Highlighter. One possibility is to use the lucene.search.highlight

Now I have several Lucene index sets (I call it shards), which indexes different document sets. They are independent, which means I can perform search on each of them without reading others. Then I get a query request. I want to search it over every index set and combine the result to form the final top documents. I know that when scoring the documents, Lucene needs to know the < idf > of every term, and different index sets will give different < idf > to the same term (because different index sets hold different document sets). Thus to my understanding, I cannot compare the document score

I have this table <th>Example No.</th> <th>Column 1</th> <tr> <td id="SampleId">3512376894</td> <td>two.test2@hotmail.com</td> </tr> I have script that search the values by all columns. But all I want to do is search the values by first column only with td id. But I don't know how to do that. Please kindly, help me to do that? Thanks! Here's the jsfiddle file Here's the JScript: function doSearch() { var searchText = document.getElementById('searchTerm').value; var targetTable = document.getElementById('dataTable'); var targetTableColCount; for (var rowIndex = 0; rowIndex < targetTable.rows