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Deep learning models for serendipity recommendations: A survey and new perspectives
Serendipitous recommendations have emerged as a compelling approach to deliver users
with unexpected yet valuable information, contributing to heightened user satisfaction and …
with unexpected yet valuable information, contributing to heightened user satisfaction and …
Serendipity in recommender systems: a systematic literature review
A recommender system is employed to accurately recommend items, which are expected to
attract the user's attention. The over-emphasis on the accuracy of the recommendations can …
attract the user's attention. The over-emphasis on the accuracy of the recommendations can …
“Leagile” software development: An experience report analysis of the application of lean approaches in agile software development
In recent years there has been a noticeable shift in attention from those who use agile
software development toward lean software development, often labelled as a shift “from …
software development toward lean software development, often labelled as a shift “from …
Hgamn: Heterogeneous graph attention matching network for multilingual poi retrieval at baidu maps
The increasing interest in international travel has raised the demand of retrieving point of
interests (POIs) in multiple languages. This is even superior to find local venues such as …
interests (POIs) in multiple languages. This is even superior to find local venues such as …
Wisdom of crowds and fine-grained learning for serendipity recommendations
Serendipity is a notion that means an unexpected but valuable discovery. Due to its elusive
and subjective nature, serendipity is difficult to study even with today's advances in machine …
and subjective nature, serendipity is difficult to study even with today's advances in machine …
Deep neural network approach for a serendipity-oriented recommendation system
Most of the available recommender systems focus on the accuracy of recommendations. As
a result, their recommendations are often popular and very close to user preferences, which …
a result, their recommendations are often popular and very close to user preferences, which …
DuIVA: An intelligent voice assistant for hands-free and eyes-free voice interaction with the Baidu Maps App
Mobile map apps such as the Baidu Maps app have become a ubiquitous and essential tool
for users to find optimal routes and get turn-by-turn navigation services while driving …
for users to find optimal routes and get turn-by-turn navigation services while driving …
[PDF][PDF] Improving Entity Recommendation with Search Log and Multi-Task Learning.
Entity recommendation, providing search users with an improved experience by assisting
them in finding related entities for a given query, has become an indispensable feature of …
them in finding related entities for a given query, has become an indispensable feature of …
Concept drift-aware temporal cloud service APIs recommendation for building composite cloud systems
The booming advances of cloud computing promote rapid growth of the number of cloud
service Application Program Interfaces (APIs) published at the large-scale software cloud …
service Application Program Interfaces (APIs) published at the large-scale software cloud …
How do item features and user characteristics affect users' perceptions of recommendation serendipity? A cross-domain analysis
Serendipity is one of beyond-accuracy objectives for recommender systems (RSs), which
aims to achieve both relevance and unexpectedness of recommendations, so as to …
aims to achieve both relevance and unexpectedness of recommendations, so as to …