Reciprocal Recommenders
نویسندگان
چکیده
This paper introduces Reciprocal Recommenders, an important class of personalised recommender systems that has received little attention until now. The applications of Reciprocal Recommenders include online systems that help users to nd a job, a mentor, a business partner or even a date. The contributions of this paper are the de nition of this class of recommendation system, the identi cation of the particular personalisation challenges for them, the proposition of some promising techniques to address these challenges. We illustrate these concepts with a case study in online dating.
منابع مشابه
The nature of reciprocal recommenders with a case study in online dating
People-to-people recommenders constitute an important class of recommender systems. Examples include online dating, where people have the common goal of finding a partner, and employment websites where one group of users needs to find a job (employer) and another group needs to find an employee. People-to-people recommenders differ from the traditional items-to-people recommenders as they must ...
متن کاملAmmar Alanazi
[A Probabilistic Reciprocal Recommender with Temporal Dynamics] Recommender systems are methods of personalisation that provide online services users with suggestions for further interaction with those services. Most recommender systems are for product-to-consumer recommendation, suggesting items or products to users, but there is a growing need for reciprocal recommenders, where the goal is to...
متن کاملUser Experiences and Impressions of Recommenders in Complex Information Environments
We studied how actual users find items of interest in today’s complex, recommender-rich information environments, what role recommenders play in it, and if recommenders increase perceived social presence. We used applied ethnography, on-location observation and interviewing, and Amazon as the environment to get an accurate picture of user activity. We found that users are increasingly relying o...
متن کاملWhen do Recommender Systems Work the Best?: The Moderating Effects of Product Attributes and Consumer Reviews on Recommender Performance
We investigate the moderating effect of product attributes and consumer reviews on the efficacy of a collaborative filtering recommender system on an e-commerce site. We run a randomized field experiment on a top North American retailer’s website with 184,375 users split into a recommender-treated group and a control group with 37,215 unique products in the dataset. By augmenting the dataset wi...
متن کاملReco – Experimental Personalized Recommendation Framework
The intensive research in the personalized recommendation area results into the need for the automatizing routine processes within the recommenders’ design or evaluation. In this paper we propose a novel framework for evaluation and experimentation with recommenders. Proposed approach supports basic recommenders’ types – content based and collaborative approaches and allows researchers to add n...
متن کامل