Apache Solr Jobs

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Fixed-Price - Expert ($$$) - Est. Budget: $2,800 - Posted
i need an ionic cross platform app developer who can develop a photo/video social app that also involves a large volume of content aggregation. Ideally, you would know how to pull data from dozens of sites at one time and organize the data in the app for users to engage with. Our budget is $2800.00. Thank you.
Skills: Apache Solr AngularJS Ionic Framework
Fixed-Price - Expert ($$$) - Est. Budget: $75 - Posted
We are currently in the process of migrating from drupal 6 to drupal 7 and need some assistance with making sure our new index is setup correctly and is returning data the same as our old one. Currently queries run on our old index, return different data to the query run on our new server, we need to find out why this is the case and re-configure it to match. Our debugging has shown that certain fields in the new index are not being searched correctly. Namely our custom fields and node titles. We also need some assistance with making sure the data in the index is laid out as best as can be. An ideal candidate should have experience with both drupal solr module and apache solr v 4.
Skills: Apache Solr Drupal
Fixed-Price - Expert ($$$) - Est. Budget: $40 - Posted
I have a production server with a Solr core containing approximately 1 GB of data. The data directory gets backed up regularly. I have a local development environment which replicates production including solr. My local environment works as expected. I want to use the production core on my local machine in order to run some tests. I did the following: - Downloaded a backup of the data folder - Replaced the data directory in my local core (production replica) - When I restart Solr locally I get a core error 'cannot not open searcher' Surely all that Solr needs is the data directory (given schema and solrconfig are identical)? Solr version 5.0.0
Skills: Apache Solr
Fixed-Price - Expert ($$$) - Est. Budget: $500 - Posted
Hi we are looking for Big data developer / Architect with expertise in all the below techs: If you are expert in any one of these, please mention your skill set in the proposal. Hadoop, Hive, Spark, H20, Mahout, AKKA(Load balancing and streaming), Cassandra , Kafka, Strom, MongoDB, Zookeeper, ETL, ElasticSearch, Solr Web End: Play Framework Languages: Scala, Python, R(Intermediary) Building Tool:Maven, sbt. Please mention your experience in MNC companies.
Skills: Apache Solr Apache Hive Apache Spark Apache Cassandra
Fixed-Price - Intermediate ($$) - Est. Budget: $300 - Posted
Hello, I'm looking for someone to write the script and walk me through what they did in this article in detail and set it up: http://blog.luckyoyster.com/post/33592990831/data-mining-the-web-100-worth-of-priceless If you notice, it looks like they did a bit of cleaning of the data as well as they imported it into SOLR (or ElasticSearch if it can handle this much data)... Actually, I may want to load them into Amazon Cloudsearch. Or, if it's cheaper, we could use SolrCloud and something like this: https://aws.amazon.com/marketplace/pp/B008ASMOSK (see reviews, could be issue w/ disk permissions). I would love instructions also on how I could move the cluster we create over to a dedicated server stack if it's a lot cheaper (and it could be, please advise). So, it looks like the import script was in Ruby. If you read the article carefully, you'll see what they did. Next, I'd love to get pointed to some ways to configure Solr or Cloudsearch (which I think is like SOLR) so I can work on indexing, ranking and query serving this much data, and also learn how I can work with it in a "search engine" format to get started. A panel of some sort would be great or some direction on how to search the data in a web interface. Please let me know: #1) your experience in doing something like this, #2) how long it would take you, #3) what you would do, and #4) how much it would cost. Thanks!
Skills: Apache Solr Amazon EC2
Fixed-Price - Expert ($$$) - Est. Budget: $3,200 - Posted
i am looking for an Android developer who has a long history and experience with aggregating content and data from large amount of sources across the internet (dozens, hundreds or thousands of websites). Ideally, you would know how to pull data from dozens of sites at one time and organize the data in a mobile app. i would need you to develop a app that is similar to one that is already on market. You would be finishing what we already started or you would build from scratch. Our budget is arOund $3200.00
Skills: Apache Solr Android App Development Data scraping Web scraping
Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
The job will involve: - Modifying an Open Source software to turn it into a fully operational web-based software. - Building data analytics and visualization tools Essential skills: SPARQL, RDF, OWL, understanding ontology Javascript, XML, HTML, CSS, MySQL, Elastic Search, Apache Solr, Apache TomCat, Linux
Skills: Apache Solr Apache Ant Apache Tomcat CSS
Fixed-Price - Expert ($$$) - Est. Budget: $2,000 - Posted
I need to perform several lucene queries on a column of text within a CSV. The output must include a binary output that indicates if the text within a cell contains or does not contain each lucene search string. Ideally, I would like to be able to replicate this process in the future for non-technical analysts. For this reason, I believe a connection between Solr and Rapidminer would be a user friendly option, but I am open to other methods for executing this. Thank you very much! An example of the tags is here: https://app.box.com/shared/static/brchu4y7tmdtszvr2xxcdqqopsjewuou.xlsx An example of the data is here (and attached): https://app.box.com/shared/static/yy21h8t4gkfihx5hy0su8ng1h7y4f24e.csv
Skills: Apache Solr Elasticsearch Lucene Search Rapid Miner
Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
Hello All, We are building a application for matching professionals with job Postings and jobs with professionals. For this we need matching enigne which can do clustering, indexing, Searching, matching, and then providing recommendations based on match score. When job seeker logs into application he should get job recommendation based on his profile without entring any search query and when recruiter logs in he should get candidates recommendations based on jobs he posted. We need to do matching in real time as the user logs in we have to find all matching jobs to his profile.We use sqlite database and we intended to use Elasticsearch or Solr to build this recommendaton/search engine. Your solution should be highly scalable, robust ,accurate and should work for variety of job types and resumes like any other job portal like Careerbuilder,linkedin or monster. Information we are collecting is : (Stored in SQLite) Data is highly structured and you wont have to work much on data preparation. JOB POSTING 1. Skills required for job. - This is array of skills. ex. Java, php,html,python,sql 2. Total years of experience required for job 3. Job description - Text paragraph (Need parsing to find token to boost search) 4. Desired Qualification - Tex Paragraph (Need parsing to find token to boost search) 5. Education qualification required (Low importance) 6. Job function (Low importance) (There are other paramters too like job location,salary. Those can be used to boost search and matching score. CANDIDATE PROFILE 1. Overall Skills -This is array of skills. ex. Java, php,html,python,sql 2. Total years of experience of candidate 3. Past experiences Experience 1 - No of years in this position (months) Skills used array - ex. Java, php,html,python,sql Job responsibilities: Text paragraph about job responsibilities Experience 2 - No of years in this position (months) Skills used array - ex. Java, php,html,python,sql Job responsibilities: Text paragraph about job responsibilities Experience 3 - No of years in this position (months) Skills used array - ex. Java, php,html,python,sql Job responsibilities: Text paragraph about job responsibilities and so on.. 4. Education qualification of candidates (Low importance) 5. Job function (Low importance) Based on information collected above we want you to build algorithm to recommend jobs to candidates and candidates to jobs.We are using PHP for our application so code in PHP is preferred but not necessary. We proposes Elasticsearch/Solr for clustering, matching and providing recommendations. Elasticsearch/Solr will be deployed outside our ready application. We can keep data in Sqlite database, but data has to be ingested in Elasticsearch/Solr in realtime in order to Elasticsearh/Solr can build an inverted index, make clusterization and perform faster search. Ready application will deal with Elasticsearch/Solr by means of HTTP requests, fetching recommendations and showing them to a user. Elasticsearch/Solr Should provide content-based and behaviour based,like this recomendations. The final solution will consist of: - set of code modules, scripts and instructions for Solr deployment and configuration; - client library with examples of making search/recommendation requests - documentation, describing applied algorithms,methods - Generate random set of jobs/seekers - Setup Elasticsearch/Solr, create schema, ingest data - Attribute-based (matching by job title, skills, years of experience, location) - Hierarchical Classification (requires hierarchical classification of job/industries) - More-like-this (matching by job description, previous experience) - Concept-Based (recommending concepts (clusters)) - Collaborative filtering (recommending jobs "liked/applied" by similar users) In future we may have similar work. So consider this as long term opportunity. Don't bid if you don't have background in Elasticsearch/Solr/Search-Information retrieval/machine learning or you haven't done similar kind of work before...
Skills: Apache Solr Elasticsearch Lucene Search Machine learning