Statistical biases in Information Retrieval metrics for recommender systems
نویسندگان
چکیده
منابع مشابه
Multi-Agent Information Retrieval and Recommender Systems
The number of accessible web pages in Internet increases every day and it becomes more and more difficult to deal with such a huge source of information. In literature many approaches have been proposed to provide users with high-quality links extracted from the thousands of irrelevant ones. In this paper, we present Implicit, a system that combines recommender system and multi-agent system app...
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Recommender Systems (RS) [25] have the goal of suggesting to every user the items that might be of interest for her. In particular, RSs based on Collaborative Filtering (CF) [2] rely on the opinions expressed by the other users. In fact, CF tries to automatically find users similar to the active one and recommends to this active user the items liked by these similar users. This simple intuition...
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The powerful and democratic activity of social tagging allows the wide set of Web users to add free annotations on resources. Tags express user interests, preferences and needs, but also automatically generate folksonomies. They can be considered as gold mine, especially for e-commerce applications, in order to provide effective recommendations. Thus, several recommender systems exploit folkson...
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Retrieving relevant items which meet a user’s information need is the key objective of information retrieval (IR). Current IR systems generally seek to satisfy search queries independently without considering search history information from other searchers. By contrast, algorithms used in recommender systems (RSs) are designed to predict the future popularity of an item by aggregating ratings o...
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Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...
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ژورنال
عنوان ژورنال: Information Retrieval Journal
سال: 2017
ISSN: 1386-4564,1573-7659
DOI: 10.1007/s10791-017-9312-z