Welcome!

Machine Learning Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Elizabeth White, Corey Roth

News Feed Item

Content Discovery at Heart of the Latest Update to ResortsandLodges.com

New innovations aim to enhance user experience

MINNEAPOLIS, Jan. 2, 2013 /PRNewswire-iReach/ -- ResortsandLodges.com, an industry leader in resort and lodge destination travel, is releasing it's final major product update of 2012.  The update provides enhanced user experience and content discovery to the millions of travelers researching, planning, booking and sharing their vacation experiences on ResortsandLodges.com.

(Photo: http://photos.prnewswire.com/prnh/20130102/CG35768)

ResortsandLodges.com provides detailed destination content, property information, photos, videos, consumer reviews, social feeds, pricing and more to travelers via robust property profile pages.  At the forefront of the update is a complete redesign to the profile page interface and the addition of relational content discovery through relevant location based recommendations.

"Our core value is to deliver memorable experiences.  What we've accomplished with this innovation, we feel, is created the most extensive, informational and media rich guide to properties in leisure travel destinations." said Ryan Bailey, President of ResortsandLodges.com.

Critical to simplifying the travel planning process, is the ability to curate content discovery using relevant travel filters.  As an example, those interested in only family travel now can quickly view all photos, videos, reviews, articles, deals and packages related to their specific request in one place.

Additional enhancements and features include:

- Enhanced PhotoPlayer features including caption capability for individual photographs and improved integration, bringing travelers together across a global scale.

- Contact Improvements with traveler reviews: Property information including location, phone number, website listing and testimonies.

- Relative contextual enhancement in searches, providing the user with more precise search results, leading to a more enjoyable experience.

- Reviews are now targeted by category providing detailed travel user recommendations.

About ResortsandLodges.com
ResortsandLodges.com® is the most comprehensive online resource for resort and lodge vacations worldwide, serving more than ten million leisure, group and corporate travelers each year. The site provides travelers direct access to original content, colorful photography and high-quality video for resorts, lodges, hotels, motels, inns, bed and breakfasts, ranches, vacation rentals and more. Our easy to use visual maps and filters allow Users to quickly find the information they are looking for when researching, planning and booking their resort and lodge vacations. Founded in 1998, we were one of the first major leisure travel directories established on the Internet. Over the years we have received many awards and accolades for our Web design, outstanding usability, fast page loading speeds, and skillful information display. Most recently, ResortsandLodges.com® won the WebAward for excellence in Web site design and development from the Web Marketing Association (WMA). We were chosen from among 2,400 entries from more than 40 countries during the WMA's annual WebAward competition.

Media Contact: Nic Regis TravelNet Solutions, 651-757-4933, [email protected]

Media Contact: Nic Regis TravelNet Solutions, 651-757-4933, [email protected]

News distributed by PR Newswire iReach: https://ireach.prnewswire.com

SOURCE ResortsandLodges.com

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DXWorldEXPO LLC announced today that Telecom Reseller has been named "Media Sponsor" of CloudEXPO | DXWorldEXPO 2018 New York, which will take place on November 11-13, 2018 in New York City, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning provides predictive models which a business can apply in countless ways to better understand its customers and operations. Since machine learning was first developed with flat, tabular data in mind, it is still not widely understood: when does it make sense to use graph databases and machine learning in combination? This talk tackles the question from two ends: classifying predictive analytics methods and assessing graph database attributes. It also examines the ongoing lifecycle for machine learning in production. From this analysis it builds a framework for seeing where machine learning on a graph can be advantageous.'