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• Need to add 30K new pages to a 10K page website - troubles ahead? (SEO)

  - by Jurga

  We have a situation with a website where we plan to add a huge amount of new pages. The domain is over 10 years old, approximately 10 thousand indexed pages, and the planned addition is approx. 30K new pages. Any idea how we should go about it? Must we schedule a gradual data release? Have you heard of any industry standards as to how many new pages per day / week / month should be added in order to appear natural and not get in trouble with Google? I.e. should we plan a bi-weekly addition of 5K?

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• Using a "white list" for extracting terms for Text Mining

  - by [email protected]

  In Part 1 of my post on "Generating cluster names from a document clustering model" (part 1, part 2, part 3), I showed how to build a clustering model from text documents using Oracle Data Miner, which automates preparing data for text mining. In this process we specified a custom stoplist and lexer and relied on Oracle Text to identify important terms.  However, there is an alternative approach, the white list, which uses a thesaurus object with the Oracle Text CTXRULE index to allow you to specify the important terms. INTRODUCTIONA stoplist is used to exclude, i.e., black list, specific words in your documents from being indexed. For example, words like a, if, and, or, and but normally add no value when text mining. Other words can also be excluded if they do not help to differentiate documents, e.g., the word Oracle is ubiquitous in the Oracle product literature. One problem with stoplists is determining which words to specify. This usually requires inspecting the terms that are extracted, manually identifying which ones you don't want, and then re-indexing the documents to determine if you missed any. Since a corpus of documents could contain thousands of words, this could be a tedious exercise. Moreover, since every word is considered as an individual token, a term excluded in one context may be needed to help identify a term in another context. For example, in our Oracle product literature example, the words "Oracle Data Mining" taken individually are not particular helpful. The term "Oracle" may be found in nearly all documents, as with the term "Data." The term "Mining" is more unique, but could also refer to the Mining industry. If we exclude "Oracle" and "Data" by specifying them in the stoplist, we lose valuable information. But it we include them, they may introduce too much noise. Still, when you have a broad vocabulary or don't have a list of specific terms of interest, you rely on the text engine to identify important terms, often by computing the term frequency - inverse document frequency metric. (This is effectively a weight associated with each term indicating its relative importance in a document within a collection of documents. We'll revisit this later.) The results using this technique is often quite valuable. As noted above, an alternative to the subtractive nature of the stoplist is to specify a white list, or a list of terms--perhaps multi-word--that we want to extract and use for data mining. The obvious downside to this approach is the need to specify the set of terms of interest. However, this may not be as daunting a task as it seems. For example, in a given domain (Oracle product literature), there is often a recognized glossary, or a list of keywords and phrases (Oracle product names, industry names, product categories, etc.). Being able to identify multi-word terms, e.g., "Oracle Data Mining" or "Customer Relationship Management" as a single token can greatly increase the quality of the data mining results. The remainder of this post and subsequent posts will focus on how to produce a dataset that contains white list terms, suitable for mining. CREATING A WHITE LIST We'll leverage the thesaurus capability of Oracle Text. Using a thesaurus, we create a set of rules that are in effect our mapping from single and multi-word terms to the tokens used to represent those terms. For example, "Oracle Data Mining" becomes "ORACLEDATAMINING." First, we'll create and populate a mapping table called my_term_token_map. All text has been converted to upper case and values in the TERM column are intended to be mapped to the token in the TOKEN column. TERM                                TOKEN DATA MINING                         DATAMINING ORACLE DATA MINING                  ORACLEDATAMINING 11G                                 ORACLE11G JAVA                                JAVA CRM                                 CRM CUSTOMER RELATIONSHIP MANAGEMENT    CRM ... Next, we'll create a thesaurus object my_thesaurus and a rules table my_thesaurus_rules: CTX_THES.CREATE_THESAURUS('my_thesaurus', FALSE); CREATE TABLE my_thesaurus_rules (main_term     VARCHAR2(100),                                  query_string  VARCHAR2(400)); We next populate the thesaurus object and rules table using the term token map. A cursor is defined over my_term_token_map. As we iterate over  the rows, we insert a synonym relationship 'SYN' into the thesaurus. We also insert into the table my_thesaurus_rules the main term, and the corresponding query string, which specifies synonyms for the token in the thesaurus. DECLARE   cursor c2 is     select token, term     from my_term_token_map; BEGIN   for r_c2 in c2 loop     CTX_THES.CREATE_RELATION('my_thesaurus',r_c2.token,'SYN',r_c2.term);     EXECUTE IMMEDIATE 'insert into my_thesaurus_rules values                        (:1,''SYN(' || r_c2.token || ', my_thesaurus)'')'     using r_c2.token;   end loop; END; We are effectively inserting the token to return and the corresponding query that will look up synonyms in our thesaurus into the my_thesaurus_rules table, for example:     'ORACLEDATAMINING'        SYN ('ORACLEDATAMINING', my_thesaurus)At this point, we create a CTXRULE index on the my_thesaurus_rules table: create index my_thesaurus_rules_idx on        my_thesaurus_rules(query_string)        indextype is ctxsys.ctxrule; In my next post, this index will be used to extract the tokens that match each of the rules specified. We'll then compute the tf-idf weights for each of the terms and create a nested table suitable for mining.

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• Annoying Search Behavior - Search Companion

  - by David Stein

  I'm running Windows XP Professional, and ever since the last service pack I've had a searching problem. When I want to search a network drive, I get the following message: This folder is not indexed. To search this directory plase use Search Companion or add this directory to your index via options. Basically, I have two questions. Is there some way that I can use the indexed search where appropriate and then have it switch over to the Search Companion automatically? Second, how does a programmer look at this code and think this is a good idea? I realize that this question is rhetorical. However, I must enter my search string into one search, receive the error, and then click "Search Companion" to bring up the new search window. This window doesn't even take the defaults from the previous one so I have to specify the search string and drive again.

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• Annoying Search Behavior - Search Companion

  - by DavidStein

  I'm running Windows XP Professional, and ever since the last service pack I've had a searching problem. When I want to search a network drive, I get the following message: This folder is not indexed. To search this directory plase use Search Companion or add this directory to your index via options. Basically, I have two questions. Is there some way that I can use the indexed search where appropriate and then have it switch over to the Search Companion automatically? Second, how does a programmer look at this code and think this is a good idea? I realize that this question is rhetorical. However, I must enter my search string into one search, receive the error, and then click "Search Companion" to bring up the new search window. This window doesn't even take the defaults from the previous one so I have to specify the search string and drive again.

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• Coloring even heighten columns

  - by verror

  I try to set different a background colors for left and right columns and to maintain the same height. So I set a background color for outer wrapper ("container" div) so it will set a color to rightBar. But this didn't work. Online Demo I want it to work on all browsers. Markup: <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html lang="en"> <head> <title>Test</title> </head> <body> <div class="contentcontainer"> <div class="container"> <div class="mainBar"> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> <p>Text Text Text Text Text Text Text Text Text Text Text Text Text Text </p> </div> <div class="rightBar"> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> <p>BAR Text BAR Text BAR Text</p> </div> </div> </div> </body> </html> CSS: body { font-family: Verdana,Tahoma,Arial, "Trebuchet MS" ,Sans-Serif,Georgia,Courier, "Times New Roman" ,Serif; margin: 0px; padding: 0px; background: repeat-x scroll center bottom #C4DAE9; text-align:center; } .contentcontainer { } .container { margin-left: auto; margin-right: auto; margin-top:5px; width: 99%; text-align: left; background-color:Gray; clear:both; } .mainBar { width:70%; float:left; background-color:White; } .rightBar { width:30%; float:left; }

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• Using a "white list" for extracting terms for Text Mining, Part 2

  - by [email protected]

  In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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• HTML: How to create a DIV with only vertical scroll-bar to show long paragraphs on a webpage?

  - by Awan

  I want to show terms and condition note on my website. I dont want to use text field and also dont want to use my whole page. I just want to display my text in selected area and want to use only vertical scroll-bar to go down and read all text. Currently I am using this code: <div style="width:10;height:10;overflow:scroll" > text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text text </div> It is not fixing the width and height and spread until the all text appears. Second it is showing horizontal scroll-bar and I don't want to show it. Any Idea ? Thanks

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• Writing an optimised and efficient search engine with mySQL and ColdFusion

  - by Mel

  I have a search page with the following scenarios listed below. I was told there was a better way to do it, but not how, and that I am using too many if statements, and that it's prone to causing an error through url manipulation: Search.cfm will processes a search made from a search bar present on all pages, with one search input (titleName). If search.cfm is accessed manually (through URL not through using the simple search bar on all pages) it displays an advanced search form with three inputs (titleName, genreID, platformID) or it evaluates searchResponse variable and decides what to do. If simple search query is blank, has no results, or less than 3 characters it displays an error If advanced search query is blank, has no results, or less than 3 characters it displays an error If any successful search returns results, they come back normally. The top-of-page logic is as follows: <!---SET DEFAULT VARIABLE---> <cfparam name="variables.searchResponse" default=""> <!---CHECK TO SEE IF SIMPLE SEARCH A FORM WAS SUBMITTED AND EXECUTE SEARCH IF IT WAS---> <cfif IsDefined("Form.simpleSearch") AND Len(Trim(Form.titleName)) LTE 2> <cfset variables.searchResponse = "invalidString"> <cfelseif IsDefined("Form.simpleSearch") AND Len(Trim(Form.titleName)) GTE 3> <!---EXECUTE METHOD AND GET DATA---> <cfinvoke component="myComponent" method="simpleSearch" searchString="#Form.titleName#" returnvariable="simpleSearchResult"> <cfset variables.searchResponse = "simpleSearchResult"> </cfif> <!---CHECK IF ANY RECORDS WERE FOUND---> <cfif IsDefined("variables.simpleSearchResult") AND simpleSearchResult.RecordCount IS 0> <cfset variables.searchResponse = "noResult"> </cfif> <!---CHECK IF ADVANCED SEARCH FORM WAS SUBMITTED---> <cfif IsDefined("Form.AdvancedSearch") AND Len(Trim(Form.titleName)) LTE 2> <cfset variables.searchResponse = "invalidString"> <cfelseif IsDefined("Form.advancedSearch") AND Len(Trim(Form.titleName)) GTE 2> <!---EXECUTE METHOD AND GET DATA---> <cfinvoke component="myComponent" method="advancedSearch" returnvariable="advancedSearchResult" titleName="#Form.titleName#" genreID="#Form.genreID#" platformID="#Form.platformID#"> <cfset variables.searchResponse = "advancedSearchResult"> </cfif> <!---CHECK IF ANY RECORDS WERE FOUND---> <cfif IsDefined("variables.advancedSearchResult") AND advancedSearchResult.RecordCount IS 0> <cfset variables.searchResponse = "noResult"> </cfif> I'm using the searchResponse variable to decide what the the page displays, based on the following scenarios: <!---ALWAYS DISPLAY SIMPLE SEARCH BAR AS IT'S PART OF THE HEADER---> <form name="simpleSearch" action="search.cfm" method="post"> <input type="hidden" name="simpleSearch" /> <input type="text" name="titleName" /> <input type="button" value="Search" onclick="form.submit()" /> </form> <!---IF NO SEARCH WAS SUBMITTED DISPLAY DEFAULT FORM---> <cfif searchResponse IS ""> <h1>Advanced Search</h1> <!---DISPLAY FORM---> <form name="advancedSearch" action="search.cfm" method="post"> <input type="hidden" name="advancedSearch" /> <input type="text" name="titleName" /> <input type="text" name="genreID" /> <input type="text" name="platformID" /> <input type="button" value="Search" onclick="form.submit()" /> </form> </cfif> <!---IF SEARCH IS BLANK OR LESS THAN 3 CHARACTERS DISPLAY ERROR MESSAGE---> <cfif searchResponse IS "invalidString"> <cfoutput> <h1>INVALID SEARCH</h1> </cfoutput> </cfif> <!---IF SEARCH WAS MADE BUT NO RESULTS WERE FOUND---> <cfif searchResponse IS "noResult"> <cfoutput> <h1>NO RESULT FOUND</h1> </cfoutput> </cfif> <!---IF SIMPLE SEARCH WAS MADE A RESULT WAS FOUND---> <cfif searchResponse IS "simpleSearchResult"> <cfoutput> <h1>Search Results</h1> </cfoutput> <cfoutput query="simpleSearchResult"> <!---DISPLAY QUERY DATA---> </cfoutput> </cfif> <!---IF ADVANCED SEARCH WAS MADE A RESULT WAS FOUND---> <cfif searchResponse IS "advancedSearchResult"> <cfoutput> <h1>Search Results</h1> <p>Your search for "#Form.titleName#" returned #advancedSearchResult.RecordCount# result(s).</p> </cfoutput> <cfoutput query="advancedSearchResult"> <!---DISPLAY QUERY DATA---> </cfoutput> </cfif> Is my logic a) not efficient because my if statements/is there a better way to do this? And b) Can you see any scenarios where my code can break? I've tested it but I have not been able to find any issues with it. And I have no way of measuring performance. Any thoughts and ideas would be greatly appreciated. Many thanks

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• Open source LINQ search engine for website

  - by Noel

  I want to add a search engine to my website. I want it to handler boolean searches and give me a list of results in order or best match. I need it to be able to work with LINQ, because I want to add additional where clauses to the final query that gets run. I am looking for the best open source .NET search engine that works with LINQ. I like lucene.net but the problem is the LINQ interface (LINQ to Lucene) hasn't been updated since 2008. Are there any good options out there?

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• The Best Text to Speech (TTS) Software Programs and Online Tools

  - by Lori Kaufman

  Text to Speech (TTS) software allows you to have text read aloud to you. This is useful for struggling readers and for writers, when editing and revising their work. You can also convert eBooks to audiobooks so you can listen to them on long drives. We’ve posted some websites here where you can find some good TTS software programs and online tools that are free or at least have free versions available. 8 Deadly Commands You Should Never Run on Linux 14 Special Google Searches That Show Instant Answers How To Create a Customized Windows 7 Installation Disc With Integrated Updates

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• Denali CTP3 - Semantic Search 2 (Lots of documents)

  - by sqlartist

  Hi again, I thought I would improve on the previous post by actually putting a decent about of content into the Filetable - this time I used the opensource DMOZ Health document repository which contains 5,880 files inside 220 folders. The files are all html and are pretty small in size. The entire document collection is about 120Mb unzipped and 30Mb zipped. If any one is interested in testing this collection drop me a note and I will upload the dmoz_health repository archive to Skydrive. This time...(read more)

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• Transform Search String into FullText Compatible Search String?

  - by Alex

  I'm working with the fulltext search engine of MSSQL 2008 which expects a search string like this: ("keyword1" AND "keyword2*" OR "keyword3") My users are entering things like this: engine 2009 "san francisco" hotel december xyz stuff* "in miami" 1234 something or "something else" I'm trying to transform these into fulltext engine compatible strings like these: ("engine" AND "2009") ("san francisco" AND "hotel" AND "december" AND "xyz") ("stuff*" "in miami" "1234") ("something" OR "something else") I have a really difficult time with this, tried doing it using counting quotation marks, spaces and inserting etc. but my code looks like horrible for-and-if vomit. Can someone help?

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• Search predictions broken in Chrome - reinstall didn't solve the problem

  - by Shimmy

  I recently changed the default search engine to a custom google search URL (using baseUrl) with some additional parameters and removed all the rest of the search engines, and since then, the search predictions stopped working. I even tried to reinstall Chrome but as soon as I resync, the problem is back! Search predictions are just gone without option to fix!! In IE changing the search provider allows specifying a prediction (suggestion) provider, In chrome, once you change the default search engine, you'll never be able to have predictions again!! This is a terrible bug, I mean WTF!!! Is there any workaround to that? I posted a bug report a while ago but it seems no one looks at it. I'm about to give up on Chrome and go back to IE, the only good thing about Chrome is the Extension market and the AdBlocker (which I can find in IE as well). The perfrormance changes don't matter to me too much. Thanks

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• Singular or Plural Nouns as file names for better Search & SEO friendlyness? [closed]

  - by Sam

  Possible Duplicate: Should I use singular or plural nouns in a domain name and why? Dear folks, two scenarios where file names should be best representing the search volume by audiences searching for it. Scenario 1 website.org/en/logo.php website.org/en/brochure.php website.org/en/poster.php website.org/en/design.php OR Scenario 2 website.org/en/logos.php website.org/en/brochures.php website.org/en/posters.php website.org/en/designs.php Q1. What do you intuitivly think would be the best? Q2. What do the facts in general show? people search for singular or plural in search? Q3. Do Search engines have common rule of thumb for this? Q4. Should I pick either and go with either scenario consistently or does it depend on the word? Thanks very much for your ideas/suggestions. I reall don't know which one to go for.

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• Search selected text in Firefox

  - by Jeremy Rudd

  What are the different Firefox extensions that can start a search with the selected text? Firefox has an inbuilt feature to search using the currently selected engine. Select any text Right click the selection Search Google for ... I'm looking for something that will let me choose which search engine I want to search with, from my current list of installed search engines.

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• Google Sites page never shows up in Google Search organic results?

  - by gus

  I use Google Sites (i.e.: https://sites.google.com/site/EXAMPLE/ ) as a convenient way to maintain up-to-date info on several residential properties, info that's often requested by my property agents, its been around for about 1 year, but I still can never get it to appear in organic Google search results or Bing, even if I search the specific keywords such as the street names. I submitted the URL manually to search engines, knowing that my Sites page probably has very few incoming links. Is this expected behavior? The content of my page has simple formatted text, and outgoing links to Picasa/G+/imgur photo albums. Am I doing something wrong or do all GoogleSites pages have poor organic search rank? Thank you very much.

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• Why my website doesn't appear in Google search results? [duplicate]

  - by cyrfandli

  This question already has an answer here: What are the best ways to increase a site's position in Google? 20 answers Why aren't search engines indexing my content? 1 answer I've made a simple website for a friend's bakery and it doesn't appear in Google's search results even if I search for the whole domain name of the site. What can be the problem? How to make it appear? (The site)

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• How to take search query and append modifers to the end of it

  - by Kimber

  This is a greasemonkey question. What I'm trying to do is modify an old google discussions script. What were wanting to do is be able to take the google search query and add modifiers to the end of it. Like this: search query: "superuser" modifiers: inurl:greasemonkey+question end result: "superuser" inurl:greasemonkey+question The old script creates a new div within the "hdtb_more_mn" element which is where you get the new discussions tab. However, since the "tbm=dsc" option to do a discussion search has died, this script no longer works. Hence the need to add modifiers to your searches. I tried to edit the script, but it appends the modifiers to the end of the url which includes "&client=firefox-a&hs=8uS&rls=org.mozilla:en-US:official". This means you're also searching for the above as well as your query, which doesn't work. I would like to be able to append the modifiers @ the end of the search querty, rather than the whole URL. I'm just not sure how to code it to where it adds the below "&tbm=" stuff within "discussionDiv.innerHTML" to the end of the query. The google search id seems to be, "gbqfq" for the search box, but I'm not sure how to add this id. Here is the old script // ==UserScript== // @name Add Back Google Discussions // @version 1.4 // @description Adds back the Discussion filters to Google Search // @include *://*.google.tld/search* // ==/UserScript== var url = location.href; if (url.indexOf('tbm=dsc') < 0) addFilterType('dsc', 'Discussions'); function addFilterType(val, name) { var searchType = document.getElementById('hdtb_more_mn'); var discussionDiv = document.createElement('DIV'); discussionDiv.className = 'hdtb_mitem'; discussionDiv.innerHTML = '<a class="q qs" href="'+ (url.replace(/&tbm=[^&]*/g,'') + '&tbm=' + val) +'">'+name+'</a>'; searchType.innerHTML += discussionDiv.outerHTML; } Thanks for any help, or suggestions on who to ask. Google Chrome has an extension for discussion searches, but FF doesn't seem to have one as of yet, which is why I'm trying to modify the above.

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• Adding UCM as a search source in Windows Explorer

  - by kyle.hatlestad

  A customer recently pointed out to me that Windows 7 supports federated search within Windows Explorer. This means you can perform searches to external sources such as Google, Flickr, YouTube, etc right from within Explorer. While we do have the Desktop Integration Suite which offers searching within Explorer, I thought it would be interesting to look into this method which would not require any client software to implement. Basically, federated searching hooks up in Windows Explorer through the OpenSearch protocol. A Search Connector Descriptor file is run and it installs the search provider. The file is a .osdx file which is an OpenSearch Description document. It describes the search provider you are hooking up to along with the URL for the query. If those results can come back as an RSS or ATOM feed, then you're all set. So the first step is to install the RSS Feeds component from the UCM Samples page on OTN. If you're on 11g, I've found the RSS Feeds works just fine on that version too. Next, you want to perform a Quick Search with a particular search term and then copy the RSS link address for that search result. Here is what an example URL might looks like: http://server:16200/cs/idcplg?IdcService=GET_SCS_FEED&feedName=search_results&QueryText=%28+%3cqsch%3eoracle%3c%2fqsch %3e+%29&SortField=dInDate&SortOrder=Desc&ResultCount=20&SearchQueryFormat= Universal&SearchProviders=server& Now you want to create a new text file and start out with this information: <?xml version="1.0" encoding="UTF-8"?><OpenSearchDescription xmlns:ms-ose="http://schemas.microsoft.com/opensearchext/2009/"> <ShortName></ShortName> <Description></Description> <Url type="application/rss+xml" template=""/> <Url type="text/html" template=""/> </OpenSearchDescription> Enter a ShortName and Description. The ShortName will be the value used when displaying the search provider in Explorer. In the template attribute for the first Url element, enter the URL copied previously. You will then need to convert the ampersand symbols to '&' to make them XML compliant. Finally, you'll want to switch out the search term with '{searchTerms}'. For the second Url element, you can do the same thing except you want to copy the UCM search results URL from the page of results. That URL will look something like: http://server:16200/cs/idcplg?IdcService=GET_SEARCH_RESULTS&SortField=dInDate&SortOrder=Desc&ResultCount=20&QueryText=%3Cqsch%3Eoracle%3C%2Fqsch%3E&listTemplateId= &ftx=1&SearchQueryFormat=Universal&TargetedQuickSearchSelection= &MiniSearchText=oracle Again, convert the ampersand symbols and replace the search term with '{searchTerms}'. When complete, save the file with the .osdx extension. The completed file should look like: <?xml version="1.0" encoding="UTF-8"?> <OpenSearchDescription xmlns="http://a9.com/-/spec/opensearch/1.1/" xmlns:ms-ose="http://schemas.microsoft.com/opensearchext/2009/"> <ShortName>Universal Content Management</ShortName> <Description>OpenSearch for UCM via Windows 7 Search Federation.</Description> <Url type="application/rss+xml" template="http://server:16200/cs/idcplg?IdcService=GET_SCS_FEED&amp;feedName=search_results&amp;QueryText=%28+%3Cqsch%3E{searchTerms}%3C%2fqsch%3E+%29&amp;SortField=dInDate&amp;SortOrder=Desc&amp;ResultCount=200&amp;SearchQueryFormat=Universal"/> <Url type="text/html" template="http://server:16200/cs/idcplg?IdcService=GET_SEARCH_RESULTS&amp;SortField=dInDate&amp;SortOrder=Desc&amp;ResultCount=20&amp;QueryText=%3Cqsch%3E{searchTerms}%3C%2Fqsch%3E&amp;listTemplateId=&amp;ftx=1&amp;SearchQueryFormat=Universal&amp;TargetedQuickSearchSelection=&amp;MiniSearchText={searchTerms}"/> </OpenSearchDescription> After you save the file, simply double-click it to create the provider. It will ask if you want to add the search connector to Windows. Click Add and it will add it to the Searches folder in your user folder as well as your Favorites. Now just click on the search icon and in the upper right search box, enter your term. As you are typing, it begins executing searches and the results will come back in Explorer. Now when you double-click on an item, it will try and download the web viewable for viewing. You also have the ability to save the search, just as you would in UCM. And there is a link to Search On Website which will launch your browser and go directly to the search results page there. And with some tweaks to the RSS component, you can make the results a bit more interesting. It supports the Media RSS standard, so you can pass along the thumbnail of the documents in the results. To enable this, edit the rss_resources.htm file in the RSS Feeds component. In the std_rss_feed_begin resource include, add the namespace 'xmlns:media="http://search.yahoo.com/mrss/' to the rss definition: <rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"> Next, in the rss_channel_item_with_thumb include, below the closing image element, add this element: </images> <media:thumbnail url="<$if strIndexOf(thumbnailUrl, "@t") > 0 or strIndexOf(thumbnailUrl, "@g") > 0 or strIndexOf(thumbnailUrl, "@p") > 0$><$rssHttpHost$><$thumbnailUrl$><$elseif dGif$><$HttpWebRoot$>images/docgifs/<$dGif$><$endif$>" /> <description> This and lots of other tweaks can be done to the RSS component to help extend it for optimum use in Explorer. Hopefully this can get you started. *Note: This post also applies to Universal Records Management (URM).

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• Connecting Google Analytics with Custom Search Engine AdSense

  - by Yochai Timmer

  I have a Custom Search Engine that I've created with AdSense. I've put that search engine as a site search in my Google Sites page. I've connected both the Custom Search Engine and the Google Site to my Analytics page via their settings pages. Now, I'm trying to get Analytics to show me the AdSense for Search statistics. I've managed to connect the Google Sites page, to the Analytics, and I can see the search statistics in the Analytics as well. But I can't get it to show the actual AdSense for Search statistics from the Custom Search Engine. How can I configure everything so I can get the AdSense for Search statistics of my Custom Search Engine in my Analytics page?

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• The Best Tools for Enhancing and Expanding the Features of the Windows Clipboard

  - by Lori Kaufman

  The Windows clipboard is like a scratch pad used by the operating system and all running applications. When you copy or cut some text or a graphic, it is temporarily stored in the clipboard and then retrieved later when you paste the data. We’ve previously showed you how to store multiple items to the clipboard (using Clipboard Manager) in Windows, how to copy a file path to the clipboard, how to create a shortcut to clear the clipboard, and how to copy a list of files to the clipboard. There are some limitations of the Windows clipboard. Only one item can be stored at a time. Each time you copy something, the current item in the clipboard is replaced. The data on the clipboard also cannot be viewed without pasting it into an application. In addition, the data on the clipboard is cleared when you log out of your Windows session. NOTE: The above image shows the clipboard viewer from Windows XP (clipbrd.exe), which is not available in Windows 7 or Vista. However, you can download the file from deviantART and run it to view the current entry in the clipboard in Windows 7. Here are some additional useful tools that help enhance or expand the features of the Windows clipboard and make it more useful. Can Dust Actually Damage My Computer? What To Do If You Get a Virus on Your Computer Why Enabling “Do Not Track” Doesn’t Stop You From Being Tracked

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• How does Google show a web page's recipe photo inline with the search results? How'd they do that?

  - by Pete Alvin

  On Google, if you search for "chana dal recipe," in the middle of the search results page you'll see one search result with an image of the meal, taken from the underlying web page. It's the only one. Did: A) Google someone magically isolate the one image on the web page which summarized the recipe, --or-- B) did the webmaster/page author somehow designate and promote that particular image so that Google would inline it in the search results?

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• Vim: Fuzzy file search comparable to Sublime Text 2's?

  - by Jed

  I've tried FuzzyFinder, Command-T, and Ctrl-P (which is my finder of choice right now), but none hold a candle to Sublime Text 2. For example, I want to type: Head.php and have it find, among others: app/code/core/Mage/Page/Block/Html/Head.php Currently in Ctrl-P, which has otherwise served me better than Command-T, searching for Head.php gives me these first: downloader/lib/Mage/Connect/Command/Config_Header.php app/code/local/Namespace/Modals/Helper/Reader.php app/code/core/Mage/XMLConnect/Helper/Ipad.php My file is nowhere to be found (and I've never opened any of the above files), so I have to type this instead: pagehtmlhead.php Is there any utility that does smarter scoring/matching?

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• Desktop search combined with Intranet search

  - by James S

  Hello, I'm looking for a software similiar to Windows Desktop Search or Google Desktop, that can also display results from our Intranet search engine in the same manner it displays regular results (files/emails/etc.). So far I managed to add Intranet search capabilities to Windows Desktop Search, but it doesn't show the results in the programs UI, but requires the user to press a "Search Intranet" button that opens the browser. Would be happy to hear any suggestions. Thank you.

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• How to use the Nautilus search option

  - by Luis Alvarado

  In Nautilus if I press CTRL+F I get a search box that helps me search in the current directory and sub directories for specific names, but what if I want to: Find ALL files (including files without extensions) Find a file without an extension (Without the dot symbol or without any other name/extension separator) Find a file with/without a special character Find all files that start/not start with a character Find all files that end/not end with a character Find all files that start/no start with a character but end/not end with a character Find only files/folders Find files with specific text in them Find files with less/more/equal than/to X size Find files modified/created in X date All of this searches in the Nautilus search box I mentioned before. I ask this since the KDE's search is much better in this and gives pretty good freedom in searching for virtually anything, so I might not be learning how to use the Nautilus search option correctly. Note that I am talking about the first search done since some of this options show AFTER a search is done so the user can narrow it down more by doing a more specific search inside the Search results (for the first search). I am asking here how to do any of the search options I mentioned above in the first search.

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