ACM Transactions on Information Systems
SCIE-ISI SCOPUS (1983-2024)
1046-8188
1558-2868
Mỹ
Cơ quản chủ quản: Association for Computing Machinery (ACM) , ASSOC COMPUTING MACHINERY
Lĩnh vực:
Business, Management and Accounting (miscellaneous)Information SystemsComputer Science Applications
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Các bài báo tiêu biểu
Evaluating collaborative filtering recommender systems
Tập 22 Số 1 - Trang 5-53 - 2004
Recommender systems have been evaluated in many, often incomparable, ways. In
this article, we review the key decisions in evaluating collaborative filtering
recommender systems: the user tasks being evaluated, the types of analysis and
datasets being used, the ways in which prediction quality is measured, the
evaluation of prediction attributes other than quality, and the user-based
evaluation of...
Technological frames
Tập 12 Số 2 - Trang 174-207 - 1994
In this article, we build on and extend research into the cognitions and values
of users and designers by proposing a systematic approach for examining the
underlying assumptions, expectations, and knowledge that people have about
technology. Such interpretations of technology (which we call technological
frames) are central to understanding technological development, use, and change
in organizati...
gIBIS: a hypertext tool for exploratory policy discussion
Tập 6 Số 4 - Trang 303-331 - 1988
This paper describes an application-specific hypertext system designed to
facilitate the capture of early design deliberations. It implements a specific
method, called Issue Based Information Systems (IBIS), which has been developed
for use on large, complex design problems. The hypertext system described here,
gIBIS (for graphical IBIS), makes use of color and a high-speed relational
database ser...
A similarity measure for indefinite rankings
Tập 28 Số 4 - Trang 1-38 - 2010
Ranked lists are encountered in research and daily life and it is often of
interest to compare these lists even when they are incomplete or have only some
members in common. An example is document rankings returned for the same query
by different search engines. A measure of the similarity between incomplete
rankings should handle nonconjointness, weight high ranks more heavily than low,
and be mo...
Placing search in context
Tập 20 Số 1 - Trang 116-131 - 2002
Keyword-based search engines are in widespread use today as a popular means for
Web-based information retrieval. Although such systems seem deceptively simple,
a considerable amount of skill is required in order to satisfy non-trivial
information needs. This paper presents a new conceptual paradigm for performing
search in context, that largely automates the search process, providing even
non-prof...
An example-based mapping method for text categorization and retrieval
Tập 12 Số 3 - Trang 252-277 - 1994
A unified model for text categorization and text retrieval is introduced. We use
a training set of manually categorized documents to learn word-category
associations, and use these associations to predict the categories of arbitrary
documents. Similarly, we use a training set of queries and their related
documents to obtain empirical associations between query words and indexing
terms of documents...
Query-based sampling of text databases
Tập 19 Số 2 - Trang 97-130 - 2001
The proliferation of searchable text databases on corporate networks and the
Internet causes a database selection problem for many people. Algorithms such as
gGLOSS and CORI can automatically select which text databases to search for a
given information need, but only if given a set of resource descriptions that
accurately represent the contents of each database. The existing techniques for
a acqu...
PocketLens
Tập 22 Số 3 - Trang 437-476 - 2004
Recommender systems using collaborative filtering are a popular technique for
reducing information overload and finding products to purchase. One limitation
of current recommenders is that they are not portable. They can only run on
large computers connected to the Internet. A second limitation is that they
require the user to trust the owner of the recommender with personal preference
data. Perso...
Learning author-topic models from text corpora
Tập 28 Số 1 - Trang 1-38 - 2010
We propose an unsupervised learning technique for extracting information about
authors and topics from large text collections. We model documents as if they
were generated by a two-stage stochastic process. An author is represented by a
probability distribution over topics, and each topic is represented as a
probability distribution over words. The probability distribution over topics in
a multi-a...
Deep Item-based Collaborative Filtering for Top-N Recommendation
Tập 37 Số 3 - Trang 1-25 - 2019
Item-based Collaborative Filtering (ICF) has been widely adopted in recommender
systems in industry, owing to its strength in user interest modeling and ease in
online personalization. By constructing a user’s profile with the items that the
user has consumed, ICF recommends items that are similar to the user’s profile.
With the prevalence of machine learning in recent years, significant processes...