在本文中，我们将给您介绍关于迈出”社会化媒体营销”(SocialMediaMarketing)的第一步的详细内容，并且为您解答进行社会化媒体营销时的思路与步骤的相关问题，此外，我们还将为您提供关于Ac

在本文中，我们将给您介绍关于迈出”社会化媒体营销”(Social Media Marketing)的第一步的详细内容，并且为您解答进行社会化媒体营销时的思路与步骤的相关问题，此外，我们还将为您提供关于A context-aware personalized travel recommendation system based on geotagged social media data mi...、android – 如何从看起来像“/ content：/ media / external / video / media / 19”的路径中提取真实文件URI或文件数据？、Complaining users call out businesses on social media for better service、CoreData 的第一步的知识。

本文目录一览：

• 迈出”社会化媒体营销”(Social Media Marketing)的第一步（进行社会化媒体营销时的思路与步骤）
• A context-aware personalized travel recommendation system based on geotagged social media data mi...
• android – 如何从看起来像“/ content：/ media / external / video / media / 19”的路径中提取真实文件URI或文件数据？
• Complaining users call out businesses on social media for better service
• CoreData 的第一步

迈出”社会化媒体营销”(Social Media Marketing)的第一步（进行社会化媒体营销时的思路与步骤）

对于拥有知名品牌的大企业，开始社会化媒体营销也许要做的准备工作更多，需要面对更多的风险。但事实上，这些大品牌有意无意的一点点尝试，就很容易可以从社会化媒体的互动中获得丰厚的回报。而这些回报会让这些企业在面对社会化媒体的时候更有信心。在一些特定的行业中更是如此，比如IT和快速消费品。 相对而言，中小企业和其它相对比较保守的行业在面对社会化媒体的时候，有更多的顾虑：花很多力气去参与社会化媒体也可能吸引不了多少眼球；而由于相关的信息总量太少，所以一条不利于品牌的信息就可能让品牌陷入困境。对这样的企业来说，如何“安全”的开始社会化媒体营销的第一步呢？ 下面这几个办法可能看起来和Social Media本身的特点有点格格不入，但或许真的可以让那些保守的企业“安全”的领略到社会化媒体的威力。 １，建立企业Blog、发布企业形象图片和TVC广告视频。选择比较主流的服务供应商，但是关掉所有评论功能。如果你还不知道如何直接和消费者交流，就让消费者先听你来讲故事。唯一要注意的，可能就是对所发布内容的选择了。我想这比对付五花八门的评论要容易一些。 ２，在各种社交网站注册帐号。记得尽量使用相同的用户名和头像及自述。如果担心潜在的恶评，这些帐号可以不发布任何内容，或者只进行有选择的进行转载。但要让所有人知道你的存在。 ３，从社会化媒体网站订阅关键词来了解行业和品牌信息。这里不应当仅仅包括自己品牌的信息，更重要的是了解行业发展的趋势和竞争对手的动态。也许你自己还不想投入社会化媒体的怀抱，但可以看看别人的互动产生了什么样的效果。 ４，企业内部的社会化媒体尝试。我一直觉得对企业来说社会化媒体的作用可以是对外的也可以是对内的。建立一个内部的SNS或者Microblog服务，也许可以让企业从自己员工之间的互动中找到有价值的创新和营销的灵感。即使什么也没有得到，这样的尝试不会让你“家丑外扬”，还可以让企业更了解社会化媒体的环境，在有机会进行对外社会化媒体互动的时候能更加得心应手。 在很多情况下，说服人尝试一样新的东西，让他觉得安全比告诉他可能获得的好处更加有效。

A context-aware personalized travel recommendation system based on geotagged social media data mi...

文章简介：利用社交网站Flickr上照片的geotag信息将这些照片聚类发现城市里的旅游景点，通过各照片的拍照时间得到用户访问某景点时的时间上下文和天气上下文（利用时间和public API of Wunderground），将访问景点的上下文进行排序得到popular的上下文作为景点的上下文。在给用户作推荐时，首先得到用户当前的上下文或者要访问景点的上下文，利用上下文匹配出一些景点，然后在这些景点里头根据user-based collaborative filtering方法进行推荐，user-based collaborative filtering中用户对景点的评分使用用户访问某景点的次数。

The architecture behind our approach is configured into various modular tasks to carry out different operations as depicted in Figure 1.

We find tourist locations using spatial proximity of photos and enrich the aggregated locations with semantic annotations using textual tags annotated to photos in combination with information provided by Web services. Profiles of locations are built to describe the contexts in which they have been visited. To derive temporal context, geotags and temporal tags annotated with photos are exploited, whereas to derive weather context, we query thirdparty weather Web services to retrieve weather conditions. Relationship between users and locations is drawn to model users’ travel preferences. Then, these users’ preferences are used to estimate the similarities among users. For making recommendations, first we filter the locations based on contextual constraints, and then rank the locations by personalized score. A measure is defined to identify similar users in previously visited cities and aggregate these users’ opinions to obtain personalized score for each location in a target city for the target user.

 

android – 如何从看起来像“/ content：/ media / external / video / media / 19”的路径中提取真实文件URI或文件数据？

Complaining users call out businesses on social media for better service

http://www.zdnet.com/article/complaining-users-call-out-businesses-on-social-media-for-better-service/

Do businesses quickly admit when they have made a mistake and follow the ''customer is right'' approach? A new report shows that the ''callout culture'' is changing the way that brands engage with their audiences.

Hosting service comparison site Who Is Hosting This gathered insight from over 1,000 social media users using Amazon''s Mechanical Turk platform and who had at least one social media account.

It wanted to understand what and whether or not they choose to react with constructive feedback online.

The survey showed that people most often turn to Facebook when complaining about companies, followed by Twitter and Reddit.

Over three in five (61%) chose to vent on Facebook. The next most common platform was Twitter, which was used by less than half as many (30%) for complaints.

Yet, Twitter users have a higher likelihood of receiving same-day responses from a customer service representative or business owner compared to the Facebook platform.

The most called out industries are not surprising. Of the respondents who had called out a company, 30% said they had directed their complaints at a chain restaurant.

Complaining in this way seems to work too. Domino''s Pizza revamped its ingredients in response to complaining customers.

Some industries embrace social media criticism. The average North American airline now responds to 92% of social media complaints in under an hour.

Virgin America leads the field, with responses to 99.7% of customer comments. On the other hand, United only responds to 59.9% of customer feedback.

People are most likely to complain to companies are because they have had a bad experience with the product or service, or receive poor customer service.

Who Is Hosting This?

However, 52% of people who called out companies claimed to do so to raise awareness of a particular concern. This suggests callouts are actually intended to raise awareness.

Although it is no surprise that companies are only able to truly succeed with actioned-on feedback from their direct shoppers, consumers are helping their online community as well.

Almost a quarter (23%) of people find that negative reviews are more influential than positive remarks on their perception of a company.

But it does not do well for complainers to be too negative. According to the survey, two out of five (40%) of respondents who vented negatively about a brand online were eventually blocked by the company on social media.

Roughly a third of respondents said that after a complaint, the brand had apologized or offered compensation publicly. An even greater percentage said they received the same offer in a private message.

Obviously, brands see social media as critical for customer service -- however bad the feedback might be.

Previous and related coverage:

One in five Americans will recommend a brand that uses emerging tech

Emerging technologies can influence you more than you think -- and it can significantly impact your bottom line.

Holidays traffic floods brands with 40% more social messages

With the holiday season upon us, how can brands equip their social media response teams for the influx of messages they can expect?

CEOs must step up in a social media crisis

In a sensitive political and social media landscape, even one wrong step by brands can make all the difference. And social media users want someone to blame.

Half of Americans do not believe deepfake news could target them online

Deepfaking is an AI-based technology used to produce or alter online content. It presents something that did not actually occur. It is used to produce videos of politicians or celebrities saying or doing things that they did not say or do.

CoreData 的第一步

如何解决CoreData 的第一步

我在 Core Data 方面大胆迈出了第一步，但遇到了一个小问题。

我想通过 CoreData 保存来自 PickerView 的数据并将其从该存储传输到标签。 当视图重新加载时，最后显示的值应该显示在标签中。

我不认为我的代码有问题，但我再次面临“nil”问题。

这是代码，我做错了什么？

import UIKit
import CoreData
class TestViewController: UIViewController {
    
    let context = (UIApplication.shared.delegate as! AppDelegate).persistentContainer.viewContext
// Labels & textfields
    @IBOutlet weak var timeLabel: UILabel!
    @IBOutlet weak var hrsTextField: UITextField!
    @IBOutlet weak var minTextField: UITextField!
    @IBOutlet weak var secTextField: UITextField!
    @IBOutlet weak var timePicker: UIPickerView!
       
    var dataPickerViewTime: TimeModelPicker!
    var timeSaved = String()
 
//View did load
    override func viewDidLoad() {
        super.viewDidLoad()
        
        getDataTime()
        timeLabel.text = timeSaved
        
        dataPickerViewTime = TimeModelPicker()
        dataPickerViewTime.timeModelData = Data.getDataTime()
        timePicker.delegate = dataPickerViewTime
        timePicker.dataSource = dataPickerViewTime
        
    // Save last value from pickerView
        if let selectedRow = UserDefaults.standard.object(forKey: "saveTimePicker") as? Int {
            timePicker.selectRow(selectedRow,inComponent: 0,animated: true)
        }
        
// call timePicker changed value
        NotificationCenter.default.addobserver(self,selector: #selector(timePickerChanged),name: Notification.Name.pickersChanged,object: nil)
        
    }
    
// timePicker tnfo if value has changed
    @objc func timePickerChanged() {
        let values = timePicker.selectedRow(inComponent: 0)
        let selectedValue = dataPickerViewTime.timeModelData[values...values]
        for Time in selectedValue {
            let timeString = Time.time
            timeLabel.text = timeString
        }
    }
    
// Back to first VC
    @IBAction func back(_ sender: UIStoryboardSegue){
        dismiss(animated: true,completion: nil)
    }
    
// save "time" in CoreData
    @IBAction func save(_ sender: UIButton) {
        
        let context = (UIApplication.shared.delegate as! AppDelegate).persistentContainer.viewContext
        let entity = NSEntityDescription.entity(forEntityName: "Time",in: context)
        let newEntity = NSManagedobject(entity: entity!,insertInto: context)
        newEntity.setValue(timeLabel.text,forKey: "time")
        
        do {
            try context.save()
            print("Time saved")
        } catch {
            print("Failed saving")
        }
    }
// Get data for timeLabel for view
    func getDataTime() {
        let request = NSFetchRequest<NSFetchRequestResult>(entityName: "Time")
        request.returnsObjectsAsFaults = false
        do {
            let result = try context.fetch(request)
            for data in result as! [NSManagedobject]
            {
                timeSaved = data.value(forKey: "time") as! String // -> Thread 1: Fatal error: Unexpectedly found nil while unwrapping an Optional value
            }
        } catch {
            print("Failed")
        }
    }
        
}

今天的关于迈出”社会化媒体营销”(Social Media Marketing)的第一步和进行社会化媒体营销时的思路与步骤的分享已经结束，谢谢您的关注，如果想了解更多关于A context-aware personalized travel recommendation system based on geotagged social media data mi...、android – 如何从看起来像“/ content：/ media / external / video / media / 19”的路径中提取真实文件URI或文件数据？、Complaining users call out businesses on social media for better service、CoreData 的第一步的相关知识，请在本站进行查询。

本文标签：

• 社会媒体营销
• 第一步
• 思路
• 步骤