autosuggest

问题 driver = webdriver.Chrome('C:/Workspace/Development/chromedriver.exe') driver.get('https://www.nseindia.com/companies-listing/corporate-filings-actions') inputbox = driver.find_element_by_xpath('/html/body/div[7]/div[1]/div/section/div/div/div/div/div/div[1]/div[1]/div[1]/div/span/input[2]') inputbox.send_keys("Reliance") I'm trying to scrape the table from this website that would appear after you key in the company name in the textfield above it. The attached code block works well with such

问题 When I am programming in Eclipse, the auto-complete \ suggestions box usually opens when typing a dot (for example after typing System. or SomeObject. , and stays open while typing a similar code to any of the suggested. This is what I'm talking about: I often use the auto-complete \ suggestions box to my advantage, and there are couple of changes I would like to make in order to improve my productivity while programming, if possible; Is there any way to make the suggestions box visible all

问题 I use solr 5.0.0 and want to create an autocomplete functionality generating suggestions from the word-grams (or shingles) of my documents. The problem is that in return of a suggest-query I only get complete "terms" of the search field which can be extremly long. CURRENT PROBLEM: Input:"so" Suggestions: "......extremly long text so n long text continuing......" "......next long text so lar next text continuing......" GOAL: Input: "so" Suggestions with shingles: " so n" " so lar" " so lar

问题 I use solr 5.0.0 and want to create an autocomplete functionality generating suggestions from the word-grams (or shingles) of my documents. The problem is that in return of a suggest-query I only get complete "terms" of the search field which can be extremly long. CURRENT PROBLEM: Input:"so" Suggestions: "......extremly long text so n long text continuing......" "......next long text so lar next text continuing......" GOAL: Input: "so" Suggestions with shingles: " so n" " so lar" " so lar

问题 We're using ElasticSearch completion suggester with the Standard Analyzer, but it seems like the text is not tokenized. e.g. Texts : "First Example", "Second Example" Search : "Fi" returns "First Example" While Search : "Ex" doesn't return any result returns "First Example" 回答1: As the doc of Elastic about completion suggester: Completion Suggester The completion suggester is a so-called prefix suggester. So when you send a keyword, it will look for the prefix of your texts. E.g: Search : "Fi

问题 I have a list of cities on mysql db which is hooked onto a UI for autocompletion purposes. I am currently using solr-5.3.0. Data import is happening through scheduled delta imports. I have the following questions: I want to implement spell checker to this feature. I tried using: DirectSolrSpellChecker IndexBasedSpellChecker FileBasedSpellChecker Out of these 3 only FileBasedSpellChecker is able to give suggestions that solely exists on db. For eg, while searching cologne I've got results like

问题 I have a list of cities on mysql db which is hooked onto a UI for autocompletion purposes. I am currently using solr-5.3.0. Data import is happening through scheduled delta imports. I have the following questions: I want to implement spell checker to this feature. I tried using: DirectSolrSpellChecker IndexBasedSpellChecker FileBasedSpellChecker Out of these 3 only FileBasedSpellChecker is able to give suggestions that solely exists on db. For eg, while searching cologne I've got results like

问题 We need to create search input field like it is on _http://maps.google.com The key functionality is suggest list with appropriate results. We have not found this feature in API. Analyzing maps.google.com we see that suggest list is received from get request to this url https://maps-api-ssl.google.com/maps/suggest?q=%D0%BC%D0%BE%D1%81&cp=... There are many parameters, including data from search field. This get request returns our suggest list. Is there a possibility to use this url in our

问题 I have created indices on daily basis to store the search history and i am using those indices for the suggestions in my applciation, which helps me to suggest based on history as well. now i have to maintain only last 10 days of history. So is there any feature in Elastic search that allows me to create and delete indices periodically? 回答1: The only thing I can think of is using data math: https://www.elastic.co/guide/en/elasticsearch/reference/current/date-math-index-names.html In sense you

问题 I am trying to add suggestions for a UITextField. They show up as a UITableView below the text field that displays a few entries according to what the user is typing (like Google Suggest for example). The only method I tried so far is a select from an internal SQLite database. This works, but it is extremely slow as the database is really large (approx. 35000 entries). Everytime something is typed, the app freezes for 4 or 5 seconds before showing up new suggestions. So I guess this method