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anna

Vocal Assistant / Chatbot Anna to explore Puglia Digital Library

cp-theories-sparql

datasetssplits

This is a collection of splittings of publicly available Datasets. This collection has been created for two main purposes:

faceaccess-android-biometric-recognition

This twofold app (Mobile App and Server App) let you to authenticate yourself with your face, login and password and it recognizes who you are in a community.

features-factorization

Features-Factorization and Feature Spreading Relevance (Knowledge-aware Recommender Systems)

google-hashcode-playground

This project allows to evaluate your submissions for past editions of Google HashCode.

hashcode2019f-kingkarma

This is the solution we implemented during the Google Hashcode 2019 Extended Round - 1,232,411 points - 23rd World rank

hybridfactorizationmachines

kaHFM relies on Factorization Machines and it extends them in different key aspects making use of the semantic information encoded in a knowledge graph

linkeddatasets

losm

Linked Open Street Map - a middleware to query OSM via SPARQL queries

openarpa

attempt to make the data released by the Arpa governmental agency open data

opencv-gpu-matchtemplate

The OpenCV matchTemplate primitive for gpu has been adapted in order to enable calculations on 32-bit floating-point raw data.

papers-results

Papers Results

recommenders

Recommender Systems algorithms implementations

recsyschallenge.github.io

sudo-android-sudoku-solver

This is an Android project that let the user to take a photo to a Sudoku grid and it solves it automatically.

the-importance-of-being-dissimilar-in-recommendation

Similarity measures play a fundamental role in memory-based nearest neighbors approaches. They recommend items to a user based on the similarity of either items or users in a neighborhood. In this paper we argue that, although it keeps a leading importance in computing recommendations, similarity between users or items should be paired with a value of dissimilarity (computed not just as the complement of the similarity one). We formally modeled and injected this notion in some of the most used similarity measures and evaluated our approach showing its effectiveness in terms of accuracy results.

timepop

TimePop is a simple and efficient algorithm that combines the notion of personalized popularity and temporal aspects.

umuai-conversational-recsys