Sentences with phrase «user recommendations based»

Smart Tips will also get a boost with more accurate user recommendations based on usage.

Instead of having to check - in at each location to see tips and reviews from Foursquare, the app will automatically, or «passively,» give users recommendations based on their current location and past preferences.

Not exact matches

As TechCrunch explains, the new Foursquare «will ping phones with personalized recommendations based on a user's targeted physical location, without needing them to check in at all.»

Users can browse recommendations based on their location, can search by city, or can access a hidden menu by typing in the city name followed by a comma and a «magic word,» such as «free breakfast» or «pet friendly.»

Retailers could build inventory within Facebook's «shopping» platform and product recommendations would be made to each user based on their interest.

For sites on the left end of the Social Longevity Spectrum search is much less important as users tend to rely on an ever - refreshing ticker of content based on who they follow in conjunction with their recommendation engines (this concept was discussed in length in my content marketing predictions post).

Contrast that with Foursquare, whose new app openly asks users to select their likes and interests (examples: artichoke pizza, great deals, mellow jazz), so the app can serve up location - based recommendations.

They totally nixed the original concept of the site, which was essentially an email - based recommendation service, but kept one unexpectedly popular feature that let users write public recommendations.

Investment Pools — These will be investment portfolios that will be created by experts and traders and will be selected on the basis of user reviews and recommendations.

Trading Tools — It also gives access to trading signals, strategies along with inputs and recommendations from professional traders which users can take advantage of with a subscription - based model.

The secure new system will be based on encrypted smart contracts, which will record user comments and recommendations, as well as vehicle accident histories.

I added a 15 oz can of butter beans for more protein, based on another user's recommendation of chickpeas.

Through this social platform, Kendall - Jackson invites users to pair wine selections based on occasion, mood, flavor and color, and get wine recommendations from experts.

From budget and high - end, to ones specifically designed for kids and tech - savvy consumers, here are our product recommendations, based on sales and user reviews.

Enter any Pinterest user's name into the application and it will make recommendations for gifts based on what that person have pinned and repinned — including shoes of course (I've tested it on myself and a few friends, it was surprisingly accurate!).

For example, Karoly and Hamilton note in their op - ed that under the authority's recommendations, there would be no incentive for utilities and other major energy users to reduce emissions below baselines based on recent emission levels that decline over time.

«We're there already,» says Danny Lopez of the London - based AR company Blippar, which lets users see reviews and recommendations overlaid onto shops and landmarks.

We provide users with personalized nutrition and behavioral recommendations based on their personal health records and their specific gut microbiome composition.

With the help of text files, user behavior can be analyzed when you visit the site and then used for targeted product recommendations and interest - based advertising.

The new formula, interestingly, is based on the techniques used by successful online companies like Amazon and Netflix, and are based on user recommendations, not merely profiles filled out by love seekers which may be incomplete or inaccurate.

By changing the suggested recommendations from one with a low match percentage to a higher match percentage, their users started to communicate with people that weren't necessarily a match, based on the algorithms.

We devised a reciprocal recommendation system to match users of mutual interest according to content - based algorithms, which are based on factors that include a user's age, education and income — and another, collaborative filtering - style algorithm, which is based on prior communications: both of the user and of other users with similar interests and attractiveness.

With a larger user base than any other dating site, Match.com is our # 1 recommendation, even if it isn't strictly for lesbian singles.

Just like Netflix, Amazon, or YouTube, a chatbot you can make recommendations based on user choices and preferences.

Unlike recommendations that are derived from what other readers are checking out, the Bookish engine matches users to books based on dozens of attributes and filters out irrelevant titles.

While similar services may deliver recommendations based on the reviews provided by users, Jetpac makes carefully calculated assumptions: the more people captured leaving a restaurant with a smile, the better the odds are that you will also enjoy eating there.

That includes the «For You» section, which will work through handpicked recommendations based on music you listen to, «Radio» that allows users to listen in on Beats 1 Radio, «Playlists», which is a quick way to find the unique playlists users put together, and «My Music», where all of your personalized content is stored.

Users also have the ability to set notifications (ensuring they stay up - to - date on content they want to follow), read multiple stories at once, add favorites to their list, get recommendations based on favorite reads / authors and share stories with friends.

It all ties into our overall experience, with users receiving cross-content recommendations based on any form of content that they've consumed.»

Then the Kindle Book Recommendation Wizard sends all this information to the Cloud, a server in the Cloud figures out the best 100 paid books, and the best 100 public domain books, based on the information the user has entered, and the Cloud delivers these book recommendations to the user's Kindle.

bReads, while it is still a Beta version, gives users access to their accounts, ability to view what their friends are reading, search and view information about books (Author, description, purchase links, and reviews), post statuses based on your current progress, sort books you own into shelves, join groups and participate in discussions, and receive recommendations based on books read and rated.

In addition, they both offer personalized recommendations based on the user's reading history and on similar selections enjoyed by other members, which is likely to have a positive effect on book marketing for some titles.

Initially, Oyster wants to provide iPhone users with a reading subscription app that can help them to discover new books based on recommendations.

One Twitter user, @LuckySimms, said she thinks KU is especially great for readers, because there may be book rankings based on reader experience and a Netflix - style recommendation system.

At Jellybooks we are launching just such a model (Project «Pineapple») in the form of social group buying based on users past reading behaviour which rewards readers with discounts for sharing recommendations and buying books with others.

Songza is a music streaming and recommendation service offering curated playlists based on the time of day or a user's mood or activity.

Other new features include Goodreads integration for social reading and recommendations, Kindle Page Flip for maintaining one's spot when flipping ahead, Kindle FreeTime for parent controls and child reading monitoring, integrated reference and dictionary information via Smart Lookup, in - line footnotes, and a flashcard - based Vocabulary Builder, which is based on user word searches.

The channels, along with a «Picked Just For you» feature, aim to offer human - curated recommendations based on the books that users have already bought.

Sun explained that while Amazon and Goodreads primarily deliver book recommendations based on «collaborative filtering» — namely, a user's purchasing or rating and reviewing history as well as those of other users — Bookish doesn't have that user or purchase data yet.

Users can provide their requirements for return expectations, risk appetite, investment spread etc and based on these preferences, personalized recommendations on investment classes along with capital segregation and return period are provided back to the user.

Based on your recommendation above, I called my banker at Chase and they confirmed the 50k + 5k additional user United MP Explorer offer is available.

Our recommendations are objectively based on research and user feedback.

We gauged lender trustworthiness and user experience, among other factors, and made recommendations based on categories including your revenue and how long you've been in business.

• Individualized & Personalized — SingStar ™ offers a personalized experience for each user, introducing dynamically curated content within the main menu and offering song recommendations based on user preferences.

SAFEGUARD's recommendations are based on cost effectiveness, but the software addresses social and political realities by allowing users to override its economic prioritization for a recommendation that, for whatever reason, may not be feasible in a given community.

«Office 365 Advanced Data Governance applies machine learning to intelligently deliver proactive policy recommendations; classify data based on automatic analysis of factors like the type of data, its age and the users who have interacted with it; and take action, such as preservation or deletion.»

Instead of a typical bar association webpage with a bunch of discounts, Blueprint customizes the recommendations based on the needs of the particular user / member through a chatbot - like feature and also has consultants to provide some free help.

The first, called Firm Builder, is restricted to ABA members and is intended to provide customized recommendations based on the user's unique needs.

Our user feedback based on Blueprint 1.0 demonstrates that users still want a single recommendation but also want the option to compare that recommendation against similar offerings.

The Tailored Solutions feature limits recommendations to specific solutions and content based on each user's specific needs (either adding a product to fill a specific need or replacing an existing product).