Filmaster

Filmaster provides cloud-based recommendation technologies and solutions for cable providers, VODs, IPTV platforms and cinema chains. Our algorithms learn viewer’s tastes and behaviors and enable media distributors to deliver the right content to the right viewer.

Recommendations drive business

Drive traffic to your platform and boost subscriptions

Leverage Filmaster API · Enrich existing EPG · Real time capability · Open new marketing channes

How does Filmaster work?

Filmaster employs a hybrid of algorithm types that drive our recommendation engine. We analyze viewer preferences, group-trends, and inter-user comparisons in order to predict the best possible movies and shows that a viewer would want to watch. Filmaster data is crowdsourced, and provides the metadata and logic matrices required to power the engine. Our service is based in the cloud, meaning our customers benefit from simple integration, immediate access, and a powerful sales tool that can be deployed anywhere, at any time, on any platform.

Content-Based Algorithms

Our content-based algorithms deliver recommendations based on a vast array of movie and show tags (e.g. cast, director, genre, year, etc.) that a viewer has previously enjoyed. The algorithm sets values on the importance of characteristics to the specific user and generates a list of predictions.

Those predictions are used to create a list of personalized recommendations for each user, who can then manually narrow results by their mood or other filtering criteria. As users continue to watch content, the algorithm constantly learns to evolve recommendations.

Collaborative-Based Algorithms

The collaborative approach attempts to narrow specific predictions for an individual viewer by analyzing data gathered from the crowd. Filmaster’s crowd-sourced algorithms and data are the result of 3 years of content analysis, expert curation, and a huge database of ratings which cable providers can utilize immediately upon implementation.

This solution eliminates the expensive and time consuming R&D costs of building recommendation platforms in-house.

Data in the cloud

We’ve been crowdsourcing and curating film data for over three years. Our data sits in the cloud which means it’s immediately available and accessible at all times to our customers. Most recommender solutions will only provide the API without data. Without proper data, recommendations are far less powerful.

Proper data gathering done in-house could take months of R&D in order to accumulate the amount of data needed to provide meaningful results.

Ensure Quality Recommendations

Curation

The curative approach reduces the risk of false-positives that can occur (e.g. when an erroneous tag is ascribed to a movie, or a false relationship is made between two movies). Curation also provides a human-layer to algorithmic learning by providing additional details and innovative relationships that computer AI cannot determine alone.

Learn from viewer behavior

The Filmaster engine is capable of enhancing recommendations even further by analyzing viewer behavior. Implicit data about a viewer’s behavior (provided at the discretion of the customer) can be used to personalize recommendations even further. A few examples of meaningful viewing behavior include: How long a viewer has watched a movie or show; What volume the viewer prefers; What time of the day the user watches television.

No cow paths

We’ve made sure that our platform encourages content discovery in order to direct users to new and interesting content. Viewers should never circle the same recommendation category over and over. Note that Filmaster provides various levels of configuration that allows the customer to decide how aggressive or passive their discovery engine will be.

Leverage Filmaster Technology

Convert Non-viewers into Viewers

80% of television viewers turn on their TVs without specific intent for what they want to watch. The term “channel-surfing” is a result of the fact that viewers are most often unaware of the content available to them. Simply put, viewers enjoy watching television, not surfing television. Filmaster provides modern user experience solutions to best navigate viewers around their personalized content:

  • Use Filmaster recommendations to boost or enrich your existing EPG without an interface redesign.
  • Filmaster channel-based recommendations provide real-time recommendations to your users immediately. Direct users to content from live TV, VOD, and external sources from your service.
  • Filmaster is able to develop a recommendation interface where users can access their recommendations, favorites, etc. at any time.

Make an Impact on Subscribers

Filmaster recommendations are powerful sales tools that enable you to leverage existing sales channels and open new ones. Our recommendations will boost your subscription numbers and provide the analytics necessary to maximize the impact of your advertising campaigns.

  • Use Filmaster recommendations to increase sales of channel bundles and packages by personalizing advertisements for each viewer.
  • Use Filmaster recommendations off-screen in your newsletters, paper bills, and electronic correspondence to drive targeted advertisements.
  • Use Filmaster recommendations to improve your current offers to existing customers by showing that your service is always personalized to their tastes.

Data is a Part of the Deal

Data is a part of Filmaster’s offer and is as important as the algorithms. It allows for instant recommendations (as a solution to the “cold start” problem) and unique features such as mood-based recommendations and innovative ways to present content. The data provided by Filmaster—movie and shows traits, information about viewers’ tastes, and interconnections between movies and shows—allows you to compute the personalized recommendations even without any initial data delivered by the customer.

Out of the Box and Running

The Filmaster SaaS model means the product is not only out of the box but actually is ready to use from day one. The customer takes control over different configurations (e.g. whether the algorithm should be more brave or more conservative). Also, the algorithm is modular, meaning its different parts can play more or less significant role when used by different customers delivering the best user experience for their consumers.

Simple Pricing Plans

The pricing is flexible and depends on the API usage. It’s important to realize that the SaaS price covers both hosting and support, so it’s very competitive compared to in-house development or using out-of-the-box products which still need to be maintained in-house.

Free €€ €€€
Monthly limits
Ratings/Activities 20 k 10 mln 20 mln 40 mln
Generated Recommendations 10 k 4 mln 8 mln 16 mln
Users 1000 100 k 300 k 1 mln
Curated items N/A 500 1000 5000
Guaranteed peak performance (per second)
Ratings/Activities N/A 50 100 200
Generated Recommendations N/A 20 40 80

The Filmaster API is fully documented and available at filmaster.tv/doc with setup instructions. Please ask at filmaster@filmaster.com for login credentials.

Drive awareness to your content and boost sales

Leverage Filmaster API and Data · Prioritize titles to promote · Maximize catalogue exposure · Open new marketing channels

How does Filmaster work?

Filmaster employs a hybrid of algorithm types that drive our recommendation engine which then seamlessly connects with your VOD platform. We analyze viewer preferences, group-trends, and inter-user comparisons in order to predict the best possible content within your catalogue that a viewer would want to watch. Our crowd-sourced database of movie and TV show information provides the metadata and logic matrices required to power the engine. Our service is based in the cloud, which means you benefit from simple integration, immediate access, and a powerful sales tool that can be deployed anywhere, any time.

Content-based Algorithms

Our content-based algorithms deliver recommendations based on a vast array of movie and show tags (e.g. cast, director, genre, year, etc.) that a viewer has previously enjoyed. The algorithm sets values on the importance of characteristics to the specific user and generates a list of predictions. Those predictions are used to create a list of personalized recommendations for each user, who can then manually narrow results by their mood or other filtering criteria. As users continue to watch content, the algorithm constantly learns to evolve recommendations.

Collaborative-based Algorithms

The collaborative approach attempts to narrow specific predictions for an individual viewer by analyzing data gathered from the crowd. Filmaster’s crowd-sourced algorithms and data are the result of 3 years of content analysis, expert curation, and a huge database of ratings which cable providers can utilize immediately upon implementation.This solution eliminates the expensive and time consuming R&D costs of building recommendation platforms in-house.

Data in the cloud

We’ve been crowdsourcing and curating film data for over three years. Our data sits in the cloud which means it’s immediately available and accessible at all times to our customers. Most recommender solutions will only provide the API without data.

Without proper data, recommendations are far less powerful. Proper data gathering done in-house could take months of R&D in order to accumulate the amount of data needed to provide meaningful results.

Ensure Quality Recommendations

Curation

Filmaster uses crowdsourced curation to tag features (e.g. tagging content as violent, thought-provoking, artistic, etc.). Moderators are able to verify the characteristics and manually adjust tags at any time. As curation data improves, our engine gains confidence about recommending certain items over others that have a lower confidence rating. Customers can choose the degree of confidence required for each recommendation, or configure different levels of confidence requirements.

Learn from Viewer Behavior

The Filmaster engine is capable of enhancing recommendations even further by analyzing viewer behavior. Implicit data about a viewer’s behavior (provided at the discretion of the customer) can be used to personalize recommendations even further. A few examples of meaningful viewing behavior include: How long a viewer has watched a movie or show, What volume the viewer prefers, What time of the day the user watches television.

No cow paths

We’ve made sure that our platform encourages content discovery in order to direct users to new and interesting content. Viewers should never circle the same recommendation category over and over. Note that Filmaster provides various levels of configuration that allows the customer to decide how aggressive or passive their discovery engine will be.

Leverage Filmaster Technology

Maximize Exposure

Personalization is a powerful tool for bringing your entire VOD catalogue to market. Filmaster helps maximize awareness of your content by targeting viewers who are most likely buy a specific titles.

  • Maximize the potential opportunity of each title, no matter how popular or unpopular, by delivering it to the right viewer.
  • Prioritize titles that you want to promote. Filmaster can help you expose new titles or drive awareness to specific content via configurations in the underlying algorithm.

Show Them What They Demand

Viewers will purchase more content if it is both personalized to their taste and delivered to them from in the right interface. Optimizing your interface to focus on recommendations is the best way to get viewers to what they want.

  • Use Filmaster recommendations to bring viewers immediately to relevant content, rather than relying on your viewers to randomly surf or search for specific titles.
  • Filmaster can help develop solutions that will enrich your existing EPG, VOD directory, or other interface to maximize exposure.

Empower Your Sales Methods

Filmaster recommendations are powerful sales tools that enable you to leverage existing sales channels and open new ones. Our recommendations will boost your sales figures and provide the analytics necessary to maximize the impact of your advertising campaigns.

  • Use Filmaster recommendations off-screen in your newsletters, paper bills, and electronic correspondence to drive targeted advertisements.
  • Use Filmaster analytics to determine which titles you add to your catalogue, based on titles that certain viewers would be most likely to purchase.

Data is a Part of the Deal

Data is a part of Filmaster’s offer and is as important as the algorithms. It allows for instant recommendations (as a solution to the “cold start” problem) and unique features such as mood-based recommendations and innovative ways to present content.

The data provided by Filmaster—movie and shows traits, information about viewers’ tastes, and interconnections between movies and shows—allows you to compute the personalized recommendations even without any initial data delivered by the customer.

Out of the Box and Running

The Filmaster SaaS model means the product is not only out of the box but actually is ready to use from day one. The customer takes control over different configurations (e.g. whether the algorithm should be more brave or more conservative). Also, the algorithm is modular, meaning its different parts can play more or less significant role when used by different customers delivering the best user experience for their consumers.

Simple Pricing Plans

The pricing is flexible and depends on the API usage. It’s important to realize that the SaaS price covers both hosting and support, so it’s very competitive compared to in-house development or using out-of-the-box products which still need to be maintained in-house.

Free €€ €€€
Monthly limits
Ratings/Activities 20 k 10 mln 20 mln 40 mln
Generated Recommendations 10 k 4 mln 8 mln 16 mln
Users 1000 100 k 300 k 1 mln
Curated items N/A 500 1000 5000
Guaranteed peak performance (per second)
Ratings/Activities N/A 50 100 200
Generated Recommendations N/A 20 40 80

The Filmaster API is fully documented and available at filmaster.tv/doc with setup instructions. Please ask at filmaster@filmaster.com for login credentials.

Get more brand loyalty and boost ticket sales

API and data · Centralize your own theater times · Web interface solutions · Kiosk solutions

How does Filmaster work?

Filmaster employs a hybrid of algorithm types which propagate recommendations by analyzing viewer preferences in comparison to video metadata (content-based algorithms) and recommendations based on group trends and inter-user comparisons (collaborative-based algorithms). The metadata and logic matrices is ultimately curated by experts to remove the risk of false-positives.

Content-Based Algorithms

Our content-based algorithms deliver recommendations based on a vast array of movie and show tags (e.g. cast, director, genre, year, etc.) that a viewer has previously enjoyed. The algorithm sets values on the importance of characteristics to the specific user and generates a list of predictions.

Those predictions are used to create a list of personalized recommendations for each user, who can then manually narrow results by their mood or other filtering criteria. As users continue to watch content, the algorithm constantly learns to evolve recommendations.

Collaborative-Based Algorithms

The collaborative approach attempts to narrow specific predictions for an individual viewer by analyzing data gathered from the crowd. Filmaster’s crowd-sourced algorithms and data are the result of 3 years of content analysis, expert curation, and a huge database of ratings which cable providers can utilize immediately upon implementation.

This solution eliminates the expensive and time consuming R&D costs of building recommendation platforms in-house.

Data in the Cloud

We’ve been crowdsourcing and curating film data for over three years. Our data sits in the cloud which means it’s immediately available and accessible at all times to our customers. Most recommender solutions will only provide the API without data.

Without proper data, recommendations are far less powerful. Proper data gathering done in-house could take months of R&D in order to accumulate the amount of data needed to provide meaningful results.

Ensure Quality Recommendations

Curation

Filmaster uses crowd-sourced curation to tag features (e.g. tagging content as violent, thought-provoking, artistic, etc.). Moderators are able to verify the characteristics and manually adjust tags at any time. As curation data improves, our engine gains confidence about recommending certain items over others that have a lower confidence rating. Customers can choose the degree of confidence required for each recommendation, or configure different levels of recommendation confidence for viewers.

No cow paths

We’ve made sure that our platform encourages content discovery in order to direct users to new and interesting content. Viewers should never circle the same recommendation category over and over.

Note that Filmaster provides various levels of configuration that allows the customer to decide how aggressive or passive their discovery engine will be.

Leverage Filmaster Technology

Empower sales

Filmaster recommendations are powerful sales tools that enable you personalize recommendations on your website, application, and membership newsletters.

  • Deliver Filmaster recommendations in your newsletters, weekly updates, or membership emails to drive personalized recommendations for upcoming releases.
  • Build brand loyalty by appealing to customers’ need for personalization and having their ratings and viewing preferences accessible from your website.
  • Promote upcoming movies, events or special deals to specific viewers by learning from their social network.

Drive moviegoers to your theatres

Recommendations allow you to take control of where a viewer goes to see a movie, and your brand becomes a valuable resource for helping moviegoers decide upon a movie to watch.

  • From recommendations, you can immediately direct viewers to the showing times for your theater as opposed to those in the general area.
  • Viewers can rate a movie they just watched at your theater, storing historical data and driving brand.
  • Be the first to tell a user when a new movie is slated to show in your theaters.

Recommendations Everywhere

Whether it’s an app, a web interface, or a kiosk solution, Filmaster enables you to deliver recommendations anywhere. User profiles are stored...

  • Filmaster can integrate with your website, allowing users to choose the right film to watch right from your website and then book tickets or view showtimes from their recommendations.
  • Filmaster integrates with your mobile apps to deliver personalized notifications (via text, push notifications, email, etc.) and allows users to easily return feedback (e.g. movie ratings, customer satisfaction, etc.) right from their mobile devices.
  • The Filmaster Kiosk iPad application can quickly determine what to watch by an individual or group of friends, generate their recommendations, and allow them to book the tickets on the fly, from anywhere.

Data is a part of the deal

Data is a part of Filmaster’s offer and is as important as the algorithms. It allows for instant recommendations (as a solution to the “cold start” problem) and unique features such as mood-based recommendations and innovative ways to present content.

The data provided by Filmaster—movie and shows traits, information about viewers’ tastes, and interconnections between movies and shows—allows you to compute the personalized recommendations even without any initial data delivered by the customer.

Simple pricing plans

The pricing is flexible and depends on the API usage. It’s important to realize that the SaaS price covers both hosting and support, so it’s very competitive compared to in-house development or using out-of-the-box products which still need to be maintained in-house. Please contact us for pricing details.

Free €€ €€€
Monthly limits
Ratings/Activities 20 k 10 mln 20 mln 40 mln
Generated Recommendations 10 k 4 mln 8 mln 16 mln
Users 1000 100 k 300 k 1 mln
Curated items N/A 500 1000 5000
Guaranteed peak performance (per second)
Ratings/Activities N/A 50 100 200
Generated Recommendations N/A 20 40 80

The Filmaster API is fully documented and available at filmaster.tv/doc with setup instructions. Please ask at filmaster@filmaster.com for login credentials.

Contact us