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“Browse before search” approach in Pinterest. Is it the rightway?

It’s an interesting question I asked myself while I was browsing on Pinterest a few weeks back at bedtime — Why on earth am I browsing on Pinterest or scrolling through infinite long lists to find something when typing into a search box is so much more efficient? Well… Maybe because I was too lazy to type anything or maybe because I didn’t know what exactly I was looking for.

As a designers, I often wonder, whether you should build interfaces that support the lazy and confused approach of users or should you steer users directly to a search box? I feel, it primarily depends on the kind of application one is designing.

Pinterest chooses browsing before searching approach. And usability analysis data confirm that it is best for their business and user persona.

Objective of thetest

Understand the general behaviour of users on Pinterest android app — Does browsing before searching works well for Pinterest or should they promote searching primarily within the app.

Understanding Pinterest, as acompany

Pinterest is the world’s catalog of ideas. It helps you discover ideas you love — what to make for dinner, what to put on your walls, what to wear and more ideas for every part of your life. It also allows to search for an idea even if you don’t know what it’s called — built-in search guides help point your search in the right direction.

A Typical user of Pinterest

Prior to conducting usability tests, I developed a user persona to better understand the target users of Pinterest’s android app. This process helped me get into the mindset of the users, thinking in terms of their contexts, needs, and goals

So meet Michelle!

In addition to this, since the prototype was made for a specific set of interests selected during on-boarding, I made sure that the users I share the prototype with had similar interests.

Which approach is Pinterest following?

Certainly, “browse before search.”

Comparing the three screenshots above, we know for sure that the attention expected on “search” is quite different for all three. This is where we can compare the priorities of the app. Where Google gives a wide hero search box, Amazon shares the full length space with “Shop by Category” navigation. On the other hand, when we are talking about Pinterest, it has its search hidden behind a click.

Is the size of search box in each of these apps indicative of the priority allocated to search action? I believe so. Let’s see…

Tools used for thetest

Prototype

You might want to experience the prototype I tested on. Open this prototype in a new tab to try it out.

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Task scenario

Scenario :

Task :

Usability testing

Does browsing before searching approach work for Pinterest?

Yes it does work.

As it turns out from the user experience insights users on Pinterest app prototypes, users are mostly interested in scrolling and browsing through the options. Here is the heat map of the Pinterest prototype —

What do the users do in the first 30 secs on the prototype?

Here is one of the session replay of users on the prototype. Users have opted for browsing instead of searching initially.

 — Pinterest has solved the problem of discovery on the web. And it HAS been a problem for a while. Let’s say you want to buy a gift for your mother. Nothing specific, just something nice. A search for “nice Mother’s Day gift” on Google — or even “very special, very expensive Mother’s Day gift” — isn’t going to be much help. Google depends on finely tuned queries in order to yield useful results.

Why browsing before searching is successful for Pinterest-like apps?

Although people weren’t used to scrolling in the mid-nineties, nowadays it’s absolutely natural to scroll.

When you use scrolling as your prime method of exploring the data, it makes the user stay longer on your web page, and so increase engagement. Infinite scrolling offers an efficient way to browse that ocean of information, without having to wait for pages to preload.

Over toyou

What do you think about browsing and searching of Pinterest? I’d love to know your thoughts. Use the comments section below.

P.S. — If you liked the user experience data used in this experiment, give Perfect Sneakernews 3 Pack Sports Flag and Plain Trainer Socks in Grey/Navy/Print Grey/navy/multi Polo Ralph Lauren Cheap Sast Free Shipping 2018 New kOuC9T
a shot and try the same on your app!

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Table 9.

Laboratory Diagnosis of Central Nervous System Shunt Infections

Abbreviations: AFB, acid-fast bacilli; CSF, cerebrospinal fluid; RT, room temperature.

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Table 9.

Laboratory Diagnosis of Central Nervous System Shunt Infections

Abbreviations: AFB, acid-fast bacilli; CSF, cerebrospinal fluid; RT, room temperature.

View Large

Cranial subdural empyema and cranial epidural abscess are neurosurgical emergencies that are usually caused by bacteria (streptococci, staphylococci, aerobic gram-negative bacilli, anaerobes, often polymicrobial) ( Table 10 ). Mycobacteria and fungi are rare causes. Predisposing conditions include sinusitis, otitis media, mastoiditis, neurosurgery, head trauma, subdural hematoma, and meningitis (infants).

Table 10.

Laboratory Diagnosis of Subdural Empyema, Epidural Abscess, and Suppurative Intracranial Thrombophlebitis

Abbreviations: AFB, acid-fast bacilli; BCYE, buffered charcoal yeast extract; NAAT, nucleic acid amplification test; RT, room temperature.

Negative NAAT for tuberculosis does not rule out .

View Large
Table 10.

Laboratory Diagnosis of Subdural Empyema, Epidural Abscess, and Suppurative Intracranial Thrombophlebitis

Abbreviations: AFB, acid-fast bacilli; BCYE, buffered charcoal yeast extract; NAAT, nucleic acid amplification test; RT, room temperature.

Negative NAAT for tuberculosis does not rule out .

View Large

The pathogenesis of spinal epidural abscess includes hematogenous spread (skin, urinary tract, mouth, mastoid, lung infection), direct extension (vertebral osteomyelitis, discitis), trauma, or postprocedural complication (surgery, biopsy, lumbar puncture, anesthesia). Spinal epidural abscess is usually caused by staphylococci, streptococci, aerobic gram-negative bacilli, and anaerobes. Nocardia spp, mycobacteria, and fungi may also cause spinal epidural abscess. Spinal subdural empyema is similar to spinal epidural abscess in clinical presentation and causative organisms.

Magnetic resonance imaging is the optimal diagnostic procedure for suppurative intracranial thrombophlebitis. The etiologic agent may be recovered from cerebrospinal fluid and blood cultures. Causative organisms are similar to cranial epidural abscess and cranial subdural empyema. Empiric antimicrobial therapy is usually based on the predisposing clinical condition.

The spectrum of ocular infections can range from superficial, which may be treated symptomatically or with empiric topical antimicrobial therapy, to those sight-threatening infections that require aggressive surgical intervention and either topical and/or parenteral antimicrobial therapy. Infections may occur in the anatomical structures surrounding the eye (conjunctivitis, blepharitis, canaliculitis, dacryocystitis, orbital and periorbital cellulitis), on the surface of the eye (keratitis), or within the globe of the eye (endophthalmitis and uveitis/retinitis). Recommendations for the laboratory diagnosis of ocular infections are often based on studies where only small numbers of clinical specimens were examined so the evidence base for many recommendations is limited. Studies comparing multiple diagnostic approaches to determine the optimal means for detection of the infectious etiology of keratitis and endophthalmitis are further hampered by small specimen size. Finally, frequent pretreatment with topical antibacterial agents further complicates laboratory diagnosis of both bacterial conjunctivitis and keratitis [ 36 ].

During a three-year study, I have investigated the work of lab-based scientists in the biotechnology and pharmaceutical companies, software engineers, financial analysts and press officers. All four occupations are seen as examples of knowledge work ‘knowledge occupations’. The findings of the study support the scepticism about the knowledge economy discourse. The workers in the four occupations use a wide variety of knowledge and not just formal and abstract knowledge associated with formal learning. Most use ‘embodied knowledge’ which is practical and context-specific or ‘encoded knowledge’ such as rules and standards codified language and information distributed through members of an organization. Even within the work of scientists’ ‘thinking skills’ and drawing on abstract knowledge and deductive reasoning are not used for the majority of their day.

The study also found that the skills of graduate workers used at work are not dominated by, and can certainly not be equated with, ‘advanced’ thinking skills. Instead, the workers in the four graduate occupations use a wide range of skills, combining both hard and soft skills (working in tandem). Soft skills are often embedded in hard skills and knowledge. Hard skills and knowledge do not have a privileged status within the four occupations.

One of the perceived characteristics of knowledge workers is to work under conditions of relatively high autonomy and to, at the minimum, have the ability and opportunity to innovate products and processes. Although not in itself a skill, job control, the ability to decide how to do one’s work (and the pace at which to do it), influences how skills are exercised and how much scope exists for skill development. The case studies, which only examined workers’ subjective job control, indicate that most graduate workers generally perceive their own control to be high. Yet there does not seem to be anything specifically about their work that indicates the need or practice of high job control.

It is important to realise that the knowledge-based economy is not a neutral descriptive concept. It supports an ideological project that regards the development and application of so-called ‘human’ capital (the productive skills, individuals possess) as the answer to consistent productivity and prosperity problems, as well as issues of distributive justice. It is assumed that ongoing technological change has to be directly linked to a growing importance of technical skills and knowledge (developed through Higher Education). Yet in reality, the skills, knowledge, and abilities required to perform graduate roles are shaped by many other factors such as organisational and sector specific practices as well as job design and role interpretation.

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Gerbrand Tholen is Senior Lecturer in Sociology at City, University of London. He is the author of Graduate Work: Skills, Credentials, Careers, and Labour Markets .

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The much-used term “knowledge-based society”, probably intended to refer to a knowledge-based economy, is over used and shallow, and, like much discussion of technology, infers a recent development for something that has long been the reality. “Knowledge” work have existed since at least the middle ages, usually called professions (“professing” a body of knowledge). To the older professions–law, medicine, and preeminently the church– would be added those arising from the new nation-states and the industrial revolution–management, administration, finance, and others, all “knowledge-based.” All have always been characterized by high levels of autonomy, a chief trait of any profession. Technology certainly sparked many changes in the nature of work, but it’s an over-simplification to suggest the knowledge based jobs are something new, or that “society” is any more or less based on knowledge than it was a century or more ago.

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, Table S1). They vary between 5e-10 (human/chicken) and 14000 (/). Often, higher E-value thresholds are used for genome alignment than would commonly be used for database searches (e.g. BLAST). This is reasonable because genome comparison produces many thousands of local alignments, and a few hundred or even a few thousand spurious alignments would only amount to a small fraction of these.

There is a general awareness that repeat-masking is important for genome alignment, but the efficacy of repeat-masking methods has not been assessed in this context. "Repeats" can be categorized into two types: simple (low entropy) sequences such as ATATATATAT, and non-simple repeats such as elements. Simple repeats cause spurious (i.e. non-homologous) alignments with high scores, but non-simple repeats do not, because e.g. every is genuinely homologous to every other . Non-simple repeats cause a different problem: too many alignments. In pursuit of accurate (homologous) alignment, we focus on simple repeats.

Many BLAST-like alignment tools have a capability known as "soft masking". This means that masking is applied for the first phase of the algorithm, when initial matches are found, but not for the second phase, when alignments are extended from the initial matches. This promises the best of both worlds: avoid purely repetitive alignments, but allow repeats within larger alignments.

The scoring matrix specifies a score for aligning every kind of base with every other kind of base. The simplest scoring matrix, which is actually quite good for DNA, is: +1 for all matches and -1 for all mismatches. Given a set of trusted alignments, a scoring matrix is often derived using log likelihood ratios [ Clearance For Cheap Free Shipping Sale Scarf for Women On Sale Multicolor Cashmere 2017 Universal Size Dolce amp; Gabbana Outlet Countdown Package Cheap Sale Extremely D3C1C96
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