From solr-user-return-142362-archive-asf-public=cust-asf.ponee.io@lucene.apache.org Sat Jul 7 04:26:11 2018 Return-Path: X-Original-To: archive-asf-public@cust-asf.ponee.io Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by mx-eu-01.ponee.io (Postfix) with SMTP id 19951180627 for ; Sat, 7 Jul 2018 04:26:10 +0200 (CEST) Received: (qmail 47199 invoked by uid 500); 7 Jul 2018 02:26:09 -0000 Mailing-List: contact solr-user-help@lucene.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: solr-user@lucene.apache.org Delivered-To: mailing list solr-user@lucene.apache.org Received: (qmail 47185 invoked by uid 99); 7 Jul 2018 02:26:08 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd2-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Sat, 07 Jul 2018 02:26:08 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd2-us-west.apache.org (ASF Mail Server at spamd2-us-west.apache.org) with ESMTP id F37F11A4074 for ; Sat, 7 Jul 2018 02:26:07 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd2-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 0.192 X-Spam-Level: X-Spam-Status: No, score=0.192 tagged_above=-999 required=6.31 tests=[DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, HTML_MESSAGE=2, RCVD_IN_DNSWL_NONE=-0.0001, RCVD_IN_MSPIKE_H2=-1.697, SPF_PASS=-0.001, T_DKIMWL_WL_MED=-0.01] autolearn=disabled Authentication-Results: spamd2-us-west.apache.org (amavisd-new); dkim=pass (2048-bit key) header.d=gmail.com Received: from mx1-lw-us.apache.org ([10.40.0.8]) by localhost (spamd2-us-west.apache.org [10.40.0.9]) (amavisd-new, port 10024) with ESMTP id 64Q5747Nn-uL for ; Sat, 7 Jul 2018 02:26:07 +0000 (UTC) Received: from mail-io0-f178.google.com (mail-io0-f178.google.com [209.85.223.178]) by mx1-lw-us.apache.org (ASF Mail Server at mx1-lw-us.apache.org) with ESMTPS id F342C5F4DC for ; Sat, 7 Jul 2018 02:26:06 +0000 (UTC) Received: by mail-io0-f178.google.com with SMTP id q9-v6so12453268ioj.8 for ; Fri, 06 Jul 2018 19:26:06 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20161025; h=mime-version:from:date:message-id:subject:to; bh=Qeqh1TPuBGNxnPVmWm9GlTvRcQh+EoQYDJWMj+kSS7c=; b=X5cnle2AUNe/HFMyigyBOgvczmIuJUhHXvUs+qvaePdgs5K1R70oMQkmK9p+AWH4EE 4NUooB/pSx0vU/3C+GTYD8s6SX8Fo9brNX0t2W26Xk8EOBsz45pUdu/wSsNMw+Q4p6nt Vt2x4JZmhGnxzRwop2DibQt/vXjFtONVuBpqwMFrG6t4EIR9CO8tdI6wJBPnvxwfKv+R W5P39NmRZQA1EAcsTXVxisqHf+/dB9V04DoNqfGh7CEcR4k/xWXj7Aw8cZmQOzZH6Raz Xj/S8XEsACHaZV5naSaweR3AEWD7hGce3iFMYbFHFH63E/KbCV6yehvuxe3/sQhJ5Rjl dGdQ== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:mime-version:from:date:message-id:subject:to; bh=Qeqh1TPuBGNxnPVmWm9GlTvRcQh+EoQYDJWMj+kSS7c=; b=e7Ah9IoUyXm0Fn+SaqPTm30Um28hTvb5HmWqAk5wm3m8fogcFJj3MDZ/iEO+gbWxrY gkAv/q03CA4gnfgvRtMKzjabzyJqYlJtOB4Qbc1RmU2qcp3PemQVvvT4QlQCIWgahxqL d2F5Q1NqbLkQ4vOKeNEPGCCpd2cSxfX5bUQTLmuZAIjdz6fEGELwzZFzFP8eCMICM3CW rjjxgXhGsey4/l1ZyDaoOnT6gPcu6E6Ac38RjVhAvGFW7kzB5PhlCi65L8pF5YjxjzRI 9b8z+5WKjkZQyWJcV35tcWXeFH2j6kgjGw28ao6EQ1BgplQLhPV66HH9W9fD1/kKKkL6 IV8w== X-Gm-Message-State: AOUpUlHw2KbT6UFyad46piJ1I7sfCP05rZLtp8x5es0PE0flvkNtUWSm m//3KYjyOHM+f1plvAPeOT1qy6W662xAd8PYWMk= X-Google-Smtp-Source: AAOMgpc8cTSKGGz0DSlbaRe3NTUxx4auK8EmQrA7jwyVBRalfZEISuPKfGxQdtcA5+19hFVIv/0UdHBZoVxv5aQC0UM= X-Received: by 2002:a5e:8d07:: with SMTP id m7-v6mr10167852ioj.258.1530930365945; Fri, 06 Jul 2018 19:26:05 -0700 (PDT) MIME-Version: 1.0 Received: by 2002:a6b:c8c8:0:0:0:0:0 with HTTP; Fri, 6 Jul 2018 19:26:05 -0700 (PDT) From: "Sreenivas.T" Date: Sat, 7 Jul 2018 07:56:05 +0530 Message-ID: Subject: common ecommerce use case To: solr-user@lucene.apache.org Content-Type: multipart/alternative; boundary="000000000000a360ac05705f806c" --000000000000a360ac05705f806c Content-Type: text/plain; charset="UTF-8" Hi, It's a common use case in ecommerce world and I would like to hear best approaches to implement them. What are the options to implement "red shoes" (color category), "Men's bikes" (Gender category) or "Samsung TV" (brand catgeory) kind of queries? is it better to implement using filters like color, gender, category, brand? or should we be searching and boost the results on those fields? We may need to some query preprocessing to identify the filters for filter query. I know its business decision and mainly involves in recall vs precision. But I would like to hear suggestions. Thanks & regards, Sreenivas --000000000000a360ac05705f806c--