Collaborative and Social Information Retrieval and Access: by Max Chevalier, Christine Julien, Visit Amazon's Chantal

By Max Chevalier, Christine Julien, Visit Amazon's Chantal Soule-Dupuy Page, search results, Learn about Author Central, Chantal Soule-Dupuy,

Execs are continuously provided with various info assets developing the necessity to make certain their relevance in the large quantity of obtainable info.

Collaborative and Social details Retrieval and entry: thoughts for stronger consumer Modeling offers present cutting-edge advancements together with case experiences, demanding situations, and developments. protecting themes reminiscent of recommender structures, consumer profiles, and collaborative filtering, this ebook informs and educates academicians, researchers, and box practitioners at the most recent developments in details retrieval.

Show description

Read Online or Download Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling PDF

Best human-computer interaction books

The Age of Spiritual Machines: When Computers Exceed Human Intelligence

Put up yr be aware: First released in 1998

Ray Kurzweil is the inventor of the main leading edge and compelling expertise of our period, a global authority on synthetic intelligence, and one in all our best dwelling visionaries.

Now he bargains a framework for envisioning the twenty-first century—an age within which the wedding of human sensitivity and synthetic intelligence essentially alters and improves the way in which we are living. Kurzweil's prophetic blueprint for the long run takes us during the advances that inexorably bring about desktops exceeding the reminiscence skill and computational skill of the human mind via the 12 months 2020 (with human-level functions no longer some distance behind); in relationships with automatic personalities who might be our academics, partners, and enthusiasts; and in info fed directly into our brains alongside direct neural pathways.

Optimistic and demanding, thought-provoking and fascinating, The Age of non secular Machines is the last word consultant on our highway into the subsequent century.

The Elements of User Experience: User-Centered Design for the Web and Beyond (2nd Edition) (Voices That Matter)

From the instant it used to be released nearly ten years in the past, parts of consumer event turned an important reference for net and interplay designers across the world, and has come to outline the middle ideas of the perform. Now, during this up-to-date, increased, and full-color new version, Jesse James Garrett has subtle his brooding about the net, going past the computer to incorporate info that still applies to the surprising proliferation of cellular units and functions.

Digital Mantras: The Languages of Abstract and Virtual Worlds

This paintings synthesizes principles from a few various disciplines to reach at a philosophy of creativity for the electronic age. Drawing principles from tune, computing, artwork and philosophy, it explores the mixing of desktops into the inventive technique. It exhibits how pcs might swap the best way we create.

A Survey of Characteristic Engine Features for Technology-Sustained Pervasive Games (SpringerBriefs in Computer Science)

This e-book scrutinizes pervasive video games from a technological standpoint, targeting the sub-domain of video games that fulfill the standards that they utilize digital video game components. within the desktop online game undefined, using a video game engine to construct video games is usual, yet present online game engines don't help pervasive video games.

Additional resources for Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling

Sample text

A framework for collaborative, content-based and demographic filtering. In Artificial Intelligence Review, 13(5-6), 393–408. , & Nagarajan, R. (2002). Content-boosted collaborative filtering for improved recommendations. In 18th National Conference on Artificial Intelligence (pp. 187-192). , & Giles, C. L. (2000). Collaborative filtering by personality diagnosis: A hybrid memory-and model-based approach. In 16th Conference on Uncertainty in Artificial Intelligence (pp. 473–480). , & Riedl, J. (2003).

Each algorithm produced five recommendations. e. if a user noted that they liked Titanic then it would not be recommended to them). The fifteen total recommendations were randomly ordered in a list with duplicate recommendations being removed. Such duplicates could be produced by different the different algorithms recommending the same film. The participant was then asked to score each of the recommendations. If they had already seen the film then they were asked to give a score as to how much they liked it, on a scale from 1-5 (1 being the least and 5 being the most).

The two categories of solutions also differ in their interpretation of the users operating within the system. Memorybased methods model all user interactions based on measurable similarity-values, and thus leads to the notion of a community of recommenders. Model-based approaches, instead, train a separate model for each user in the system, and are thus characterized by a stronger subjective view of the recommender system’s end users. Hybrid Methods As we have seen, filtering algorithms have been designed from a number of different backgrounds, leading to the categorization of these algorithms into memory- and model-based groups.

Download PDF sample

Rated 4.15 of 5 – based on 23 votes