Search results
Jan 15, 2018 · By 2020, 50 percent of search is expected to be driven by voice according to ComScore. If Google Trends’ Interest over time on search terms “Google Home” and “Alexa” are any indication ...
May 2, 2019 · In this paper we present a survey study with 171 participants to examine CA users' affective experiences. Specifically, we present four major usage scenarios, users' affective responses in these scenarios, and the factors which influenced the affective responses. We found that users' overall experience was positive with interest being the most ...
Jul 12, 2018 · This paper develops a conceptual framework of the actions and intents of users and agents explaining how these actions enable the user to explore the search space and resolve their information need. The conversational search task aims to enable a user to resolve information needs via natural language dialogue with an agent. In this paper, we aim to develop a conceptual framework of the actions ...
Oct 25, 2019 · In fact, when it comes to ranking results, BERT will help Search better understand one in 10 searches in the U.S. in English, and we’ll bring this to more languages and locales over time. Particularly for longer, more conversational queries, or searches where prepositions like “for” and “to” matter a lot to the meaning, Search will be ...
Apr 12, 2024 · A conceptualization of the conversational search process between an agent and user is provided, which provides a framework and a starting point for research, development and evaluation of conversational search agents. The conversational search task aims to enable a user to resolve information needs via natural language dialogue with an agent. In this paper, we aim to develop a conceptual ...
Dec 7, 2023 · For information-seeking conversations about facts stored within a knowledge graph, dialogue utterances are transformed into graph queries in a process that is called knowledge-based conversational ...
Nov 3, 2023 · 2. Intent understanding. Next, a semantic search system attempts to identify the user’s intent or purpose behind the search query. It considers what the user is trying to achieve or what knowledge they are seeking. 3. Contextual analysis. Understanding the context of a user’s words and phrases helps a semantic search engine generate useful ...
